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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. 0-RES-JB
    11. 4167
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    Explanations

    phrases involving non-English characters

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of a specific symbol or character

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yon
    -0.79
    Michigan
    -0.73
     Blossom
    -0.73
     cherry
    -0.72
    Detroit
    -0.72
    igers
    -0.69
    beans
    -0.67
    xon
    -0.67
    MK
    -0.66
     Pastebin
    -0.65
    POSITIVE LOGITS
     Ã
    3.49
    Ã
    2.27
     Ãĸ
    2.17
     Ãī
    1.91
     Ãľ
    1.74
     Å
    1.72
     Ä
    1.70
    Ãį
    1.54
     þ
    1.53
     Gö
    1.52
    Activations Density 0.025%

    No Known Activations