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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. 0-RES-JB
    11. 11455
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    Explanations

    words related to actions of physically stumbling or being tripped

    oai_token-act-pair · gpt-3.5-turbo

    words related to actions of wrapping or being encapsulated

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
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    POSITIVE LOGITS
    pped
    4.10
    pping
    3.03
    ppers
    1.92
    pper
    1.92
    ppings
    1.72
    ps
    1.65
    ppy
    1.56
    pp
    1.42
    ppe
    1.14
    zzle
    1.14
    Activations Density 0.011%

    No Known Activations