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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. 6-RES-JB
    6. 14440
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    Explanations

    quotations with attributions

    oai_token-act-pair · gpt-3.5-turbo

    binary responses or indicators of a conclusion

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    anwhile
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    avorite
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    jri
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     destro
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    lished
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     withd
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    emale
    -0.54
     rall
    -0.53
    etheless
    -0.52
    essage
    -0.52
    POSITIVE LOGITS
    ")
    1.03
    "]
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    "—
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    .")
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    ":
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    "?
    0.93
    Activations Density 0.463%

    No Known Activations