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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. 8-RES-JB
    11. 24248
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    Explanations

    versions of software or operating systems

    oai_token-act-pair · gpt-3.5-turbo

    mentions of software version numbers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    redo
    -0.83
     charism
    -0.81
    veyard
    -0.81
    inently
    -0.73
    ordinary
    -0.71
    otom
    -0.70
    ãĥ©ãĥ³
    -0.69
    rontal
    -0.69
    rib
    -0.68
    amina
    -0.66
    POSITIVE LOGITS
    added
    0.93
    UID
    0.89
    etting
    0.80
     >=
    0.80
     thereof
    0.77
     mismatch
    0.76
     VERS
    0.76
     numbering
    0.74
     Control
    0.72
     upgr
    0.72
    Activations Density 0.033%

    No Known Activations