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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. 9153
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    Explanations

    references to locations or establishments, particularly strip clubs

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "strip" in various contexts

    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
    rious
    -0.83
    é¾įå
    -0.73
    é
    -0.70
    da
    -0.68
    pheus
    -0.66
     Cao
    -0.66
     Aval
    -0.65
    çĦ
    -0.64
     SOS
    -0.64
    lov
    -0.63
    POSITIVE LOGITS
     malls
    0.98
    strip
    0.90
    isode
    0.84
     tease
    0.81
     strip
    0.80
    aways
    0.76
     mall
    0.76
    club
    0.75
    away
    0.72
     stripe
    0.71
    Activations Density 0.058%

    No Known Activations