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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. 0-RES-JB
    11. 13383
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    Explanations

    mentions of volunteer work or volunteers

    oai_token-act-pair · gpt-3.5-turbo

    references to voluntary actions or efforts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Gale
    -0.67
     smack
    -0.67
     Hutchinson
    -0.65
    Ak
    -0.65
     Piper
    -0.64
     Higgins
    -0.64
    ARK
    -0.64
     RELEASE
    -0.63
    AH
    -0.62
     bubbles
    -0.62
    POSITIVE LOGITS
    unte
    3.65
    untary
    2.14
    untarily
    2.06
    cano
    1.57
    atile
    1.43
     fide
    1.39
    pload
    1.33
    rowd
    1.27
    atility
    1.24
     Volunte
    1.20
    Activations Density 0.058%

    No Known Activations