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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. 20644
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    Explanations

    words related to names of people or places

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns primarily related to specific individuals or places

    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
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    Negative Logits
    grown
    -0.68
    UGC
    -0.62
    rator
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    bodied
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    missions
    -0.61
    MIT
    -0.61
    ################
    -0.60
    particip
    -0.59
     Crimson
    -0.58
    RAFT
    -0.58
    POSITIVE LOGITS
     Riv
    1.29
    iera
    1.07
    ieri
    0.88
    anches
    0.88
    iere
    0.81
    ocity
    0.80
    ucci
    0.78
    oux
    0.76
    ella
    0.75
    itz
    0.74
    Activations Density 0.008%

    No Known Activations