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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. 9-RES-JB
    11. 1980
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    INDEX
    Explanations

    verbs related to labor or employment

    oai_token-act-pair · gpt-3.5-turbo

    references to work, employment, and labor-related themes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    antha
    -0.82
     Ukrain
    -0.75
     constitu
    -0.73
    Ĭ±
    -0.67
     Flavoring
    -0.66
    mble
    -0.65
    emonic
    -0.65
    osate
    -0.63
    EStream
    -0.63
    angular
    -0.62
    POSITIVE LOGITS
     overtime
    1.06
     tirelessly
    1.03
     ethic
    0.99
     diligently
    0.96
    aday
    0.93
    bench
    0.90
     collabor
    0.86
     miracles
    0.86
     harder
    0.84
    day
    0.83
    Activations Density 0.073%

    No Known Activations