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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. 9-RES-JB
    6. 906
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    Explanations

    buzzwords or terms related to news headlines and events

    oai_token-act-pair · gpt-3.5-turbo

    sentences that contain punctuation marks, particularly periods and question marks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     seiz
    -0.77
     favour
    -0.73
     pudding
    -0.71
     freezer
    -0.70
     noise
    -0.69
     hatch
    -0.69
     raft
    -0.69
     favor
    -0.68
     gelatin
    -0.67
     tens
    -0.67
    POSITIVE LOGITS
    Imm
    1.34
    Hope
    1.34
    In
    1.34
    Nor
    1.33
    Again
    1.32
    As
    1.30
    To
    1.30
    Another
    1.29
    Different
    1.29
    For
    1.29
    Activations Density 0.262%

    No Known Activations