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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 18152
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    Explanations

    distances in kilometers or miles, typically indicated in parentheses

    oai_token-act-pair · gpt-3.5-turbo

    units of measurement related to distance and size

    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
    Not in Any Lists

    No Comments

    Negative Logits
     actionGroup
    -0.62
     tyr
    -0.59
     reconc
    -0.55
    EngineDebug
    -0.54
     guiName
    -0.53
     favour
    -0.52
     moderation
    -0.52
    ivalry
    -0.51
     '[
    -0.51
    Giving
    -0.51
    POSITIVE LOGITS
    )
    1.22
    )—
    1.14
    ),
    1.13
    )!
    1.08
    ),"
    1.08
    )'
    1.06
    )/
    1.05
    )].
    1.03
    ).[
    1.02
    ).
    1.02
    Activations Density 0.054%

    No Known Activations