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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. 23698
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    Explanations

    mentions of the word "Academy" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    mentions of the Academy, likely referring to the Academy Awards

    oai_token-act-pair · gpt-3.5-turbo
    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
    sheet
    -0.81
    ppings
    -0.79
    theless
    -0.73
    TPS
    -0.73
     Meier
    -0.70
    PF
    -0.70
    ulkan
    -0.69
    sheets
    -0.69
    drivers
    -0.69
     Bundy
    -0.68
    POSITIVE LOGITS
     Awards
    1.09
    emies
    0.93
     Ruins
    0.90
     Award
    0.89
    ritic
    0.75
    alon
    0.73
     Yard
    0.73
     graduates
    0.72
    uates
    0.71
    ctor
    0.67
    Activations Density 0.036%

    No Known Activations