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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. 803
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    Explanations

    numeric information such as dates and statistics

    oai_token-act-pair · gpt-3.5-turbo

    numerical data, particularly related to voting statistics

    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
    undai
    -0.82
    raltar
    -0.77
    perm
    -0.77
    efficients
    -0.75
    kered
    -0.75
    oppy
    -0.67
    waves
    -0.67
    entry
    -0.67
    ularity
    -0.66
    vered
    -0.65
    POSITIVE LOGITS
    00
    1.03
    50
    0.87
    345
    0.80
    APH
    0.77
    44
    0.75
    ¢
    0.75
    80
    0.75
    01
    0.74
    70
    0.73
    765
    0.73
    Activations Density 0.046%

    No Known Activations