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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. 4-RES-JB
    11. 9473
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    INDEX
    Explanations

    mentions of caffeine and possibly related substances such as alcohol or chocolate

    oai_token-act-pair · gpt-3.5-turbo

    references to caffeine and its effects

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

    No Comments

    Negative Logits
    chool
    -0.77
    reek
    -0.74
    ship
    -0.71
    ships
    -0.71
    soever
    -0.71
    tale
    -0.70
     Antar
    -0.69
    creen
    -0.69
    ifice
    -0.67
     Settlement
    -0.66
    POSITIVE LOGITS
    inated
    1.02
    ohydrate
    0.90
    phrine
    0.87
    affe
    0.87
    ãĤ´ãĥ³
    0.83
    ergic
    0.81
    inator
    0.78
    inators
    0.77
    inates
    0.76
    acly
    0.74
    Activations Density 0.021%

    No Known Activations