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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. 10425
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to programming language syntax and commands

    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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    Negative Logits
     Rossi
    -0.77
     Nieto
    -0.74
     Grimm
    -0.74
     Blackwell
    -0.73
     afore
    -0.71
     Athletic
    -0.69
     Fein
    -0.69
     Schwar
    -0.68
     Hendricks
    -0.67
     Sidd
    -0.67
    POSITIVE LOGITS
    output
    1.46
    verb
    1.44
    quiet
    1.31
    export
    1.28
    enable
    1.27
    disable
    1.27
    help
    1.25
    version
    1.24
    ignore
    1.24
    prefix
    1.24
    Activations Density 0.055%

    No Known Activations