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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. 8-RES-JB
    6. 5310
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     chunks
    -0.69
     loopholes
    -0.69
     expectancy
    -0.67
     patched
    -0.67
     unborn
    -0.66
     eyeb
    -0.66
     tuna
    -0.66
     Turing
    -0.65
     chained
    -0.64
     censored
    -0.64
    POSITIVE LOGITS
    ï¸ı
    1.16
    ng
    0.98
    ti
    0.98
    ski
    0.97
    Å«
    0.97
    eh
    0.97
    ¡
    0.95
    §
    0.95
    ller
    0.95
    Å
    0.95
    Activations Density 0.055%

    No Known Activations