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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 7493
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    Explanations

    first-person pronouns followed by actions or thoughts

    oai_token-act-pair · gpt-3.5-turbo

    references to personal pronouns and expressions of self

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     depreciation
    -0.64
     ubiqu
    -0.64
    ahime
    -0.63
     diam
    -0.62
    eday
    -0.61
     simultane
    -0.60
     skew
    -0.59
     enactment
    -0.58
    artisan
    -0.58
     unparalleled
    -0.58
    POSITIVE LOGITS
    soever
    0.85
     fuss
    0.79
    igenous
    0.71
    OWS
    0.68
     cared
    0.68
    talk
    0.67
    FO
    0.67
    rier
    0.66
     needed
    0.66
    verage
    0.64
    Activations Density 0.049%

    No Known Activations