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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. 2-RES-JB
    11. 5943
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    Explanations

    French characters (e.g., "ë", "ï", "Äĵ") in the text

    oai_token-act-pair · gpt-3.5-turbo

    special characters or non-standard text elements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nesota
    -0.85
    EStreamFrame
    -0.79
    frame
    -0.75
    ciating
    -0.74
    INESS
    -0.73
    idious
    -0.72
    frames
    -0.70
    ocene
    -0.70
    ovie
    -0.68
    esty
    -0.68
    POSITIVE LOGITS
    ë
    1.26
    lé
    0.89
    lette
    0.87
    rics
    0.86
    Å¡
    0.77
    rial
    0.76
    ¬
    0.75
    hl
    0.74
    ¯¯
    0.73
    lisher
    0.72
    Activations Density 0.008%

    No Known Activations