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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. 12-RES-JB
    11. 3433
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    Explanations

    numerical data and statistics in text related to various social and economic topics

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    quantitative data and statistics related to health and social issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ©¶æ
    -0.75
    ij士
    -0.69
    ADRA
    -0.61
    Õ
    -0.59
    EStream
    -0.58
    ternity
    -0.58
    ó
    -0.55
    Ô
    -0.55
    ãĥĵ
    -0.54
    ß
    -0.54
    POSITIVE LOGITS
     of
    1.32
     thereof
    1.02
    of
    0.99
    Of
    0.96
     Of
    0.95
     OF
    0.88
    luster
    0.69
    oft
    0.68
    .
    0.64
    OF
    0.59
    Activations Density 1.134%

    No Known Activations