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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. 10-RES-JB
    11. 16977
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    Explanations

    phrases describing or questioning social and historical issues, particularly related to identity, race, and societal norms

    oai_token-act-pair · gpt-3.5-turbo

    references to historical and cultural contexts related to race and identity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DCS
    -0.63
     Oversight
    -0.61
     climbers
    -0.60
     backers
    -0.56
     Kickstarter
    -0.56
     PAX
    -0.56
     subreddits
    -0.55
     ACTIONS
    -0.55
     Hurricanes
    -0.55
     LCS
    -0.54
    POSITIVE LOGITS
     whereas
    0.76
    _.
    0.74
    ;}
    0.72
    \.
    0.72
    .''
    0.71
     ['
    0.70
    </
    0.69
    ocre
    0.68
    ^{
    0.68
     âĪĴ
    0.67
    Activations Density 1.074%

    No Known Activations