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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. 6-RES-JB
    11. 20409
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    Explanations

    calls to action, likely related to taking specific steps or actions

    oai_token-act-pair · gpt-3.5-turbo

    calls to action and phrases encouraging engagement

    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
    iaries
    -0.76
    ynt
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    gnu
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    detail
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    tymology
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    ynthesis
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    elin
    -0.66
    affer
    -0.66
    uthor
    -0.66
    gew
    -0.66
    POSITIVE LOGITS
    pictured
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     celeb
    0.76
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    0.67
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    0.65
     Getty
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     Judiciary
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    Activations Density 0.070%

    No Known Activations