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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. 8-RES-JB
    11. 10469
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    Explanations

    ways or methods

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating methods or approaches to solving problems

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ulous
    -0.68
    uster
    -0.67
    OV
    -0.67
    usters
    -0.66
    vertisement
    -0.64
    ãĥ¡
    -0.63
    iano
    -0.63
    inion
    -0.62
    uminati
    -0.61
    ieu
    -0.59
    POSITIVE LOGITS
    cale
    1.03
    hops
    0.89
    paces
    0.87
    hell
    0.86
    heet
    0.85
    finding
    0.82
    eries
    0.81
    pace
    0.73
    etting
    0.73
    pointers
    0.71
    Activations Density 0.051%

    No Known Activations