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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. 1-RES-JB
    11. 6719
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    Explanations

    keywords related to adjusting settings or features

    oai_token-act-pair · gpt-3.5-turbo

    terms related to adjusting or modifying settings and parameters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    VP
    -0.82
    Vs
    -0.75
     Fallen
    -0.73
    knife
    -0.72
    jay
    -0.72
    gil
    -0.69
    gom
    -0.69
    mu
    -0.69
    Ãį
    -0.69
    Å
    -0.68
    POSITIVE LOGITS
     adjust
    1.28
     adjustment
    1.11
     adjustments
    1.10
    adjust
    1.08
     adjusts
    1.06
     adjusting
    0.97
     adjusted
    0.92
    mble
    0.91
     Adjust
    0.90
    Adjust
    0.87
    Activations Density 0.007%

    No Known Activations