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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. 2111
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    Explanations

    sequences of characters that are not recognizable as words or meaningful patterns

    oai_token-act-pair · gpt-3.5-turbo

    specific characters or symbols that appear multiple times

    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
    HCR
    -0.88
    kson
    -0.80
    yip
    -0.78
    awaru
    -0.78
    ierrez
    -0.77
    ittees
    -0.77
    kins
    -0.76
    atche
    -0.75
    perature
    -0.73
    eanor
    -0.73
    POSITIVE LOGITS
    ±
    0.99
    ÑĤ
    0.96
    н
    0.93
    Ł
    0.90
    Ñģ
    0.89
    ļ
    0.88
    į
    0.88
    и
    0.87
    ³
    0.85
    оÐ
    0.83
    Activations Density 0.015%

    No Known Activations