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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. 12402
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    Explanations

    sentences related to competition and dominance

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to competition and winning

    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
    rawdownloadcloneembedreportprint
    -0.78
    apon
    -0.73
    scripts
    -0.73
    soType
    -0.71
    apons
    -0.70
    fledged
    -0.69
    ascript
    -0.68
    etimes
    -0.67
    Closure
    -0.67
    yrinth
    -0.67
    POSITIVE LOGITS
     favored
    1.18
     favoured
    1.11
     prevail
    1.03
     vs
    1.03
     versus
    1.03
     favoring
    1.02
     advant
    0.99
     dominant
    0.98
     predomin
    0.97
     underdog
    0.97
    Activations Density 0.655%

    No Known Activations