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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. 3-RES-JB
    11. 20865
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    INDEX
    Explanations

    mentions of competition or significant candidates in a competitive context

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals or entities that are considered strong competitors

    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
    imar
    -0.74
    arching
    -0.73
    ahon
    -0.71
    iencies
    -0.70
    romy
    -0.70
    estation
    -0.67
    erie
    -0.66
    tein
    -0.65
    ories
    -0.64
    ijk
    -0.63
    POSITIVE LOGITS
     contender
    1.31
     contenders
    1.19
     frontrunner
    1.03
     contestant
    0.97
     competitor
    0.97
    DragonMagazine
    0.86
     contestants
    0.86
     challengers
    0.82
     finalists
    0.80
     challenger
    0.79
    Activations Density 0.014%

    No Known Activations