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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. 23521
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    Explanations

    code snippets related to writing output to a console

    oai_token-act-pair · gpt-3.5-turbo

    code-related operations and functions

    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
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    Negative Logits
     TAMADRA
    -0.88
    rament
    -0.80
    worthy
    -0.79
    enda
    -0.77
    hillary
    -0.76
    hib
    -0.74
    osponsors
    -0.71
    hiba
    -0.70
    estone
    -0.69
    odor
    -0.69
    POSITIVE LOGITS
    Runtime
    0.87
    DEBUG
    0.79
    std
    0.79
    Environment
    0.79
    Console
    0.76
     std
    0.76
    Security
    0.75
    Print
    0.71
    Management
    0.71
     println
    0.69
    Activations Density 0.053%

    No Known Activations