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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. 5-RES-JB
    6. 7593
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    INDEX
    Explanations

    statements describing what actions or decisions should be taken

    oai_token-act-pair · gpt-3.5-turbo

    statements indicating a necessity or requirement to be fulfilled

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Wid
    -0.72
     maze
    -0.67
     spectrum
    -0.65
    plex
    -0.64
     stakes
    -0.63
     Bomber
    -0.62
     Puzzle
    -0.62
     Haz
    -0.61
     Wick
    -0.61
     Or
    -0.60
    POSITIVE LOGITS
     judged
    1.01
     able
    1.01
    fitting
    0.96
    leeve
    0.95
    acons
    0.95
     regarded
    0.95
     treated
    0.93
    arers
    0.92
    heading
    0.90
     considered
    0.88
    Activations Density 0.088%

    No Known Activations