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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 1373
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    INDEX
    Explanations

    words related to negative behavior or action

    oai_token-act-pair · gpt-3.5-turbo

    references to misdemeanors and their legal implications

    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
    ãĥīãĥ©
    -0.79
    Pitt
    -0.68
    ulton
    -0.67
    ALT
    -0.66
    Crunch
    -0.63
     subp
    -0.62
    HY
    -0.62
    éĹ
    -0.62
    benefit
    -0.61
    Downloadha
    -0.61
    POSITIVE LOGITS
    ean
    1.07
    ours
    0.99
    ors
    0.93
     Vaugh
    0.92
    els
    0.82
    omorph
    0.81
    eme
    0.80
    ements
    0.76
    acci
    0.71
    eman
    0.71
    Activations Density 0.007%

    No Known Activations