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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. 6173
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    Explanations

    phrases related to people expressing viewpoints or statements

    oai_token-act-pair · gpt-3.5-turbo

    quotes or statements from individuals in a conversational context

    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
    Not in Any Lists

    No Comments

    Negative Logits
     prosecutions
    -0.73
    atel
    -0.69
    tumblr
    -0.69
    govtrack
    -0.68
    compan
    -0.68
     nonviolent
    -0.67
     occupations
    -0.66
     arsenic
    -0.65
     cler
    -0.64
     martyr
    -0.64
    POSITIVE LOGITS
    ":["
    0.95
     preseason
    0.93
     teammate
    0.92
     coach
    0.91
    Coach
    0.90
     teammates
    0.87
     locker
    0.87
     scouts
    0.87
     scout
    0.86
     coaches
    0.86
    Activations Density 0.205%

    No Known Activations