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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. 24094
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    Explanations

    return statements in code snippets

    oai_token-act-pair · gpt-3.5-turbo

    return statements in programming functions

    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
    Cola
    -0.92
    insula
    -0.78
    vern
    -0.76
    andan
    -0.75
    cture
    -0.75
    anto
    -0.73
    ussen
    -0.73
    ascript
    -0.72
    lopp
    -0.69
    acht
    -0.69
    POSITIVE LOGITS
     Returns
    0.95
     TRUE
    0.85
     Return
    0.85
     returns
    0.84
    Returns
    0.83
    nil
    0.78
    Return
    0.78
     Returning
    0.77
    ees
    0.75
     return
    0.75
    Activations Density 0.013%

    No Known Activations