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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. 4-RES-JB
    11. 14536
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    Explanations

    binary sequences of characters (Ċ) in the input text

    oai_token-act-pair · gpt-3.5-turbo

    strings of repetitive or high-frequency occurrences in text

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

    No Comments

    Negative Logits
     destro
    -0.82
    nesday
    -0.81
    xual
    -0.72
     herself
    -0.68
     diseng
    -0.67
     incent
    -0.64
     scrap
    -0.64
    ibrary
    -0.64
    hement
    -0.64
     helicop
    -0.63
    POSITIVE LOGITS
     largeDownload
    0.93
    Unless
    0.86
    If
    0.86
    Whether
    0.84
    âĿ
    0.84
    There
    0.83
    Contribut
    0.82
    Details
    0.82
    Copyright
    0.81
    Anyway
    0.80
    Activations Density 0.558%

    No Known Activations