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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. 9416
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    Explanations

    phrases related to the potential consequences or outcomes of certain actions

    oai_token-act-pair · gpt-3.5-turbo

    modal verbs and phrases indicating potential actions or consequences

    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
     Boot
    -0.72
     Pon
    -0.65
     periodic
    -0.63
     conferences
    -0.61
     collaboration
    -0.59
     Convention
    -0.57
     contractual
    -0.57
     consultation
    -0.56
     Continuing
    -0.56
     Helsinki
    -0.56
    POSITIVE LOGITS
     suffice
    1.47
    amas
    0.81
    ozy
    0.79
    arat
    0.73
    ŃĶ
    0.72
    onite
    0.70
     disqual
    0.70
     detract
    0.67
     constitute
    0.67
     qualify
    0.67
    Activations Density 0.354%

    No Known Activations