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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. 4912
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    Explanations

    sequences of special characters with high activation values

    oai_token-act-pair · gpt-3.5-turbo

    special characters or symbols used in text

    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
    enegger
    -0.71
    mort
    -0.69
    ividual
    -0.67
    ifying
    -0.67
     mutual
    -0.67
     Binary
    -0.66
     Perkins
    -0.65
     Carib
    -0.64
     Mandela
    -0.63
    ilater
    -0.62
    POSITIVE LOGITS
    ĥ
    1.79
    ī
    1.58
    Ĺ
    1.56
    Ń
    1.53
    Ĵ
    1.51
    Ģ
    1.51
    ķ
    1.48
    Į
    1.47
    ı
    1.47
    IJ
    1.45
    Activations Density 0.025%

    No Known Activations