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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
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    Explanations

    objects and actions related to smoking and weapons

    oai_token-act-pair · gpt-3.5-turbo

    references to tobacco products and related imagery

    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
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    No Comments

    Negative Logits
     partName
    -0.78
    yss
    -0.74
    tics
    -0.74
    Ü
    -0.73
     Livingston
    -0.71
    tical
    -0.69
     MacDonald
    -0.67
     Holt
    -0.65
    erenn
    -0.65
    姫
    -0.65
    POSITIVE LOGITS
     cigars
    1.05
     cigar
    1.01
    illo
    0.97
    arette
    0.94
     wrapper
    0.92
    inals
    0.79
    Wra
    0.79
    ensis
    0.79
     humid
    0.78
    pipe
    0.77
    Activations Density 0.012%

    No Known Activations