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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

    terms related to the concept of "Hell."

    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 @ 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
    abet
    -0.75
    æī
    -0.74
    PsyNetMessage
    -0.72
    è¿
    -0.72
    æĸ¹
    -0.69
    æ°
    -0.67
    å¤
    -0.66
    00000
    -0.66
    Marginal
    -0.66
    print
    -0.66
    POSITIVE LOGITS
    enic
    1.16
    hound
    0.93
    ocaust
    0.92
    anger
    0.87
    ibur
    0.84
    cats
    0.83
    bender
    0.82
    cott
    0.76
    wig
    0.76
    hell
    0.76
    Activations Density 0.009%

    No Known Activations