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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. 9-RES-JB
    11. 17692
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    Javascript code snippets with return statements

    oai_token-act-pair · gpt-3.5-turbo

    function return statements in programming

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ussen
    -0.87
    iece
    -0.74
    inian
    -0.73
    itcher
    -0.72
    imbabwe
    -0.68
    anto
    -0.67
    éĹĺ
    -0.66
    ounter
    -0.65
    wana
    -0.64
    acca
    -0.64
    POSITIVE LOGITS
    nil
    0.90
     TRUE
    0.88
     nil
    0.81
     true
    0.77
    values
    0.71
     FALSE
    0.70
     Values
    0.70
    ees
    0.69
     Result
    0.69
     None
    0.67
    Activations Density 0.038%

    No Known Activations