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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 7531
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    Explanations

    dates in various formats

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, specifically periods at the end of statements

    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
     rall
    -0.87
     tide
    -0.72
     stocking
    -0.72
     unconscious
    -0.72
     trembling
    -0.70
     sunset
    -0.69
     blush
    -0.69
     matured
    -0.67
     purse
    -0.67
     awake
    -0.67
    POSITIVE LOGITS
    com
    1.27
    org
    1.09
    net
    1.03
    biz
    0.90
    nl
    0.88
    psc
    0.88
     However
    0.88
    co
    0.87
    cn
    0.86
    dk
    0.85
    Activations Density 0.116%

    No Known Activations