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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. 3-RES-JB
    11. 17092
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    INDEX
    Explanations

    formatting elements in text, like symbols and annotations

    oai_token-act-pair · gpt-3.5-turbo

    indicators of emphasis or high importance in discussions

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     Frie
    -0.77
    arers
    -0.76
    arians
    -0.73
    arian
    -0.69
    omen
    -0.67
    soDeliveryDate
    -0.66
     Establishment
    -0.65
    othe
    -0.65
    fall
    -0.65
    akers
    -0.64
    POSITIVE LOGITS
     [+
    1.22
    ãħĭ
    1.07
    ãħĭãħĭ
    1.02
    ã
    0.92
    !]
    0.75
    /-
    0.74
    cffffcc
    0.74
    rating
    0.72
    IOR
    0.69
    circle
    0.69
    Activations Density 0.006%

    No Known Activations