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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. 8-RES-JB
    11. 11682
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    INDEX
    Explanations

    specific works of literature or art (e.g., books, movies, paintings)

    oai_token-act-pair · gpt-3.5-turbo

    references to various artistic works and creations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    wcs
    -0.85
     Ukrain
    -0.80
    antha
    -0.76
    odder
    -0.74
     blockers
    -0.74
     Rohing
    -0.65
     Crush
    -0.65
     Adin
    -0.63
    pora
    -0.63
     Predators
    -0.62
    POSITIVE LOGITS
    hops
    1.27
    paces
    1.23
    flows
    1.15
    station
    1.03
    manship
    1.03
    aday
    0.97
    bench
    0.94
    works
    0.94
     ethic
    0.94
    icles
    0.91
    Activations Density 0.072%

    No Known Activations