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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. 2-RES-JB
    11. 12337
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    Explanations

    mentions of the word "Hell" with varying levels of intensity

    oai_token-act-pair · gpt-3.5-turbo

    references to "Hell" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    abet
    -0.86
    æī
    -0.78
    PsyNetMessage
    -0.72
    æĸ¹
    -0.72
    è¿
    -0.71
    å¤
    -0.69
    âĵĺ
    -0.69
    Decre
    -0.69
    California
    -0.68
    âĢ¢âĢ¢
    -0.68
    POSITIVE LOGITS
    enic
    1.12
    hound
    0.96
    ibur
    0.88
    ishly
    0.82
    cats
    0.82
     Hell
    0.81
    ocaust
    0.79
    hell
    0.77
    bender
    0.76
    cat
    0.74
    Activations Density 0.006%

    No Known Activations