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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. 8979
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    Explanations

    names, specifically the name "John."

    oai_token-act-pair · gpt-3.5-turbo

    references to the name "John"

    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
    pmwiki
    -0.66
     modernization
    -0.64
    MENTS
    -0.63
     favour
    -0.63
    BALL
    -0.62
    heet
    -0.61
    PDATE
    -0.61
    ledged
    -0.60
    âĺħ
    -0.60
     civ
    -0.59
    POSITIVE LOGITS
    athan
    1.34
     Doe
    1.21
    nie
    1.10
    ston
    1.08
     Cena
    1.08
    stone
    1.04
     Lennon
    1.02
     Hancock
    0.98
    sen
    0.95
    stown
    0.90
    Activations Density 0.026%

    No Known Activations