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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. 11-RES-JB
    11. 21538
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    Explanations

    phrases related to numerical values and functions

    oai_token-act-pair · gpt-3.5-turbo

    numerals and quantifiers related to measurements or evaluations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ãĤ¼ãĤ¦ãĤ¹
    -0.68
    ulkan
    -0.65
    uc
    -0.61
    ãĤ©
    -0.56
    ãĤ´
    -0.51
    eness
    -0.50
    azes
    -0.50
    ateur
    -0.50
    ype
    -0.50
    ases
    -0.50
    POSITIVE LOGITS
     for
    1.68
    for
    1.56
     For
    1.36
     FOR
    1.31
    For
    1.29
    FOR
    1.21
    fort
    0.76
     indefinitely
    0.67
    irection
    0.64
     Against
    0.62
    Activations Density 0.410%

    No Known Activations