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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 7832
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    INDEX
    Explanations

    mentions of a specific event or occasion, specifically a festival

    oai_token-act-pair · gpt-3.5-turbo

    mentions of a specific festival

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    avez
    -0.82
    DonaldTrump
    -0.78
    hatt
    -0.71
    cano
    -0.70
    aundering
    -0.69
    hin
    -0.69
    dimensional
    -0.68
    bole
    -0.68
     dimensional
    -0.66
    remlin
    -0.65
    POSITIVE LOGITS
    ivals
    1.25
     festival
    1.14
     festivals
    1.14
     Fest
    0.94
     Festival
    0.93
    Fest
    0.90
    é¾įå¥ij士
    0.86
    goers
    0.82
     organisers
    0.80
    ivities
    0.79
    Activations Density 0.014%

    No Known Activations