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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. 17801
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    statements-ending punctuation and textual formatting or organization

    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
    Not in Any Lists

    No Comments

    Negative Logits
    NetMessage
    -0.76
    Redditor
    -0.74
    rounded
    -0.64
     signaled
    -0.62
    raising
    -0.62
     assuming
    -0.60
     whereby
    -0.59
    activity
    -0.58
     wherein
    -0.57
    .*
    -0.56
    POSITIVE LOGITS
    etc
    0.92
     etc
    0.84
     Misc
    0.72
     ect
    0.71
    ĪĴ
    0.70
    whatever
    0.66
     Siem
    0.65
     Miscellaneous
    0.63
     Et
    0.62
     Gren
    0.62
    Activations Density 0.474%

    No Known Activations