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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. 8653
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    text containing special characters like 'âĢ' followed by numbers

    oai_token-act-pair · gpt-3.5-turbo

    repeated special characters or symbols, specifically a certain character with variations in formatting

    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
    yip
    -0.75
    creen
    -0.75
    eer
    -0.72
    erous
    -0.68
     Leilan
    -0.63
    theless
    -0.63
     Tasman
    -0.63
    enthal
    -0.61
     Catalyst
    -0.60
     comprom
    -0.60
    POSITIVE LOGITS
    IJ
    1.29
    ł
    1.24
    ª
    1.22
    Ĵ
    1.20
    ij
    1.19
    Ħ¢
    1.03
    ı
    1.02
    Ļ
    0.99
    ¤
    0.98
    ĺ
    0.96
    Activations Density 0.137%

    No Known Activations