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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. 5-RES-JB
    6. 22122
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    Explanations

    phrases or sentences that prompt the reader to take an action

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "the" and similar contextual phrases

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iatus
    -0.78
    tsy
    -0.71
    ufact
    -0.67
    warts
    -0.65
    enegger
    -0.64
     Constantin
    -0.63
    llor
    -0.61
     Baghd
    -0.61
    daughter
    -0.60
    emetery
    -0.60
    POSITIVE LOGITS
     levers
    0.88
     sparing
    0.86
     hashtag
    0.82
     borrowed
    0.78
     pseudonym
    0.78
     newfound
    0.77
     tools
    0.77
     tactic
    0.76
     metaphor
    0.73
     analogy
    0.72
    Activations Density 0.214%

    No Known Activations