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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 21210
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    Explanations

    function call statements

    oai_token-act-pair · gpt-3.5-turbo

    function calls commonly associated with programming languages

    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
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    No Comments

    Negative Logits
    stal
    -0.75
    warts
    -0.72
    worldly
    -0.67
    meat
    -0.64
    sem
    -0.63
    ija
    -0.62
     pont
    -0.62
    rosso
    -0.62
     indebted
    -0.62
    omez
    -0.61
    POSITIVE LOGITS
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    0.88
     Returns
    0.84
    ()
    0.77
     externalToEVAOnly
    0.77
    /-
    0.77
    #$
    0.70
    SourceFile
    0.70
     Calling
    0.68
    []
    0.68
    eor
    0.67
    Activations Density 0.015%

    No Known Activations