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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. 9-RES-JB
    11. 5920
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    Explanations

    U.S. states

    oai_token-act-pair · gpt-3.5-turbo

    specific references to geographical locations or places

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     CODE
    -0.69
    AD
    -0.64
     BF
    -0.61
     Feldman
    -0.60
    BD
    -0.60
     Cobra
    -0.59
    Īè
    -0.59
     DI
    -0.59
    alg
    -0.59
    ael
    -0.59
    POSITIVE LOGITS
    zbek
    0.73
    ottesville
    0.70
    zo
    0.70
    Reviewer
    0.69
     Uran
    0.65
    wolves
    0.64
     Uzbek
    0.64
     Uruguay
    0.64
    oshenko
    0.63
     ultraviolet
    0.62
    Activations Density 0.205%

    No Known Activations