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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 2983
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    oai_token-act-pair · gpt-3.5-turbo

    numerical sequences and punctuation marks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     largeDownload
    -0.66
    stru
    -0.63
     Tenth
    -0.63
    rete
    -0.62
    rogram
    -0.61
     Slim
    -0.60
     Sho
    -0.59
     unfocusedRange
    -0.59
    til
    -0.57
     Kev
    -0.57
    POSITIVE LOGITS
     Byz
    0.83
     Bentley
    0.78
    leck
    0.77
     Blackwell
    0.76
     awa
    0.74
     Bounce
    0.74
     Baldwin
    0.74
     Belarus
    0.74
    aurus
    0.73
    Bot
    0.72
    Activations Density 0.161%

    No Known Activations