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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. 15773
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    Explanations

    words related to improvement or renovation

    oai_token-act-pair · gpt-3.5-turbo

    words related to renewal or transformation processes

    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
    ILA
    -0.63
     LIMITED
    -0.62
    PLIED
    -0.60
     Attend
    -0.59
    76561
    -0.58
    abet
    -0.57
    Mat
    -0.56
    Neither
    -0.56
    ANY
    -0.56
     Writ
    -0.54
    POSITIVE LOGITS
    issance
    1.14
     rethink
    0.76
    igor
    0.72
    adays
    0.71
    afort
    0.71
    spective
    0.70
    ction
    0.70
    undown
    0.69
    igger
    0.68
    xual
    0.66
    Activations Density 0.133%

    No Known Activations