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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. 23178
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    INDEX
    Explanations

    references to organizations or foundations

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "Found" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    pered
    -0.71
    EStreamFrame
    -0.68
     captcha
    -0.68
    saf
    -0.67
    Downloadha
    -0.67
    externalActionCode
    -0.66
    mph
    -0.65
    strip
    -0.65
    umbn
    -0.65
    perature
    -0.62
    POSITIVE LOGITS
    Found
    1.09
    ãĤ¤ãĥĪ
    0.95
    ational
    0.88
     Found
    0.79
    ãĤ¤
    0.78
    icit
    0.77
    indal
    0.76
    ations
    0.76
    ator
    0.76
    landers
    0.75
    Activations Density 0.016%

    No Known Activations