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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 14024
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    oai_token-act-pair · gpt-3.5-turbo

    numerical values and data references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ).[
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    )."
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    SPONSORED
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    ."[
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    ".[
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    ?).
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    .).
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    ...)
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    ").
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    ]."
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    POSITIVE LOGITS
    ench
    0.15
    itialized
    0.15
    reens
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    obby
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    azed
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    elve
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    argo
    0.13
    arcity
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    raved
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    adel
    0.13
    Activations Density 7.238%

    No Known Activations