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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. 1-RES-JB
    11. 757
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    INDEX
    Explanations

    mentions of competitors or adversaries

    oai_token-act-pair · gpt-3.5-turbo

    references to competitors or opponents across various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uggage
    -0.73
     Zeit
    -0.69
    velt
    -0.68
    ADD
    -0.66
    haar
    -0.66
    acca
    -0.66
    udeb
    -0.66
    alam
    -0.65
    Hat
    -0.64
    umatic
    -0.64
    POSITIVE LOGITS
     rival
    1.36
     rivals
    1.31
     challengers
    1.03
    ries
    1.02
     competitor
    1.00
     competitors
    0.98
     contenders
    0.94
     adversaries
    0.91
     challenger
    0.85
     factions
    0.84
    Activations Density 0.006%

    No Known Activations