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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. 10-RES-JB
    11. 5317
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    Explanations

    versions of software

    oai_token-act-pair · gpt-3.5-turbo

    references to software versions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    redo
    -0.76
    essen
    -0.72
    reddits
    -0.69
    otom
    -0.69
    inently
    -0.69
     Rite
    -0.68
     charism
    -0.68
    ãĥ©ãĥ³
    -0.68
    amina
    -0.66
    ryn
    -0.64
    POSITIVE LOGITS
     Control
    0.91
    added
    0.89
    UID
    0.89
     >=
    0.87
    control
    0.86
     upgr
    0.83
     control
    0.82
     numbering
    0.81
    etting
    0.80
     compatibility
    0.76
    Activations Density 0.039%

    No Known Activations