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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. 18775
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    statements or annotations indicating important notes or comments

    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
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    Negative Logits
     verte
    -0.74
     neighb
    -0.71
     jaws
    -0.70
    atom
    -0.70
    ravel
    -0.64
     carbohyd
    -0.62
    enium
    -0.62
     whale
    -0.61
    esc
    -0.61
    raft
    -0.61
    POSITIVE LOGITS
    books
    1.23
    BOOK
    1.19
    book
    1.12
    ably
    0.84
    Pad
    0.84
    andum
    0.80
     Note
    0.77
     Notes
    0.76
     note
    0.76
     Edited
    0.73
    Activations Density 0.023%

    No Known Activations