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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. 17739
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    INDEX
    Explanations

    caffeine-related terms

    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 @ 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
    ccording
    -0.71
    reek
    -0.65
    solid
    -0.65
    krit
    -0.64
    CM
    -0.61
     chromos
    -0.61
     Caldwell
    -0.60
    Mat
    -0.60
     Cuban
    -0.58
    Soc
    -0.58
    POSITIVE LOGITS
    affe
    1.06
    inated
    1.06
    phrine
    0.86
    ãĤ´ãĥ³
    0.86
    ohydrate
    0.83
    onso
    0.81
    inator
    0.78
    ufact
    0.77
    ffe
    0.77
    emi
    0.76
    Activations Density 0.012%

    No Known Activations