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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. 10-RES-JB
    6. 22314
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    Explanations

    phrases indicating lack of options or being forced into a particular action

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to having limited options or decisions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    urdy
    -0.63
     Roose
    -0.63
    yip
    -0.62
    govtrack
    -0.60
    Interstitial
    -0.59
    alus
    -0.59
     aggregation
    -0.59
    ividual
    -0.59
    ippi
    -0.57
    orf
    -0.57
    POSITIVE LOGITS
     whatsoever
    0.90
    BIL
    0.78
     but
    0.76
    ices
    0.76
    DO
    0.72
     except
    0.71
     anymore
    0.69
     âĸº
    0.67
    llor
    0.66
    enegger
    0.66
    Activations Density 0.073%

    No Known Activations