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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 23701
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    Explanations

    phrases or words related to naming or labeling objects or concepts

    oai_token-act-pair · gpt-3.5-turbo

    phrases that reference the concept of "calling" or naming something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ainer
    -0.78
    offer
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    ratulations
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    ilion
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    answered
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    ondo
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    haven
    -0.65
    gomery
    -0.64
    chant
    -0.63
    Attach
    -0.63
    POSITIVE LOGITS
     "
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     ``
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     ''
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     "'
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    phas
    0.69
    ths
    0.68
     \"
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     "#
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     "âĢ¦
    0.63
    Activations Density 0.062%

    No Known Activations