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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. 21333
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    INDEX
    Explanations

    questions in a text

    oai_token-act-pair · gpt-3.5-turbo

    references to inquiries and questioning

    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
    ufact
    -0.97
    axy
    -0.79
    yss
    -0.76
    minist
    -0.75
    oreal
    -0.74
     Tycoon
    -0.73
    rites
    -0.72
    ensions
    -0.69
    alty
    -0.68
    rylic
    -0.68
    POSITIVE LOGITS
    naires
    1.40
    naire
    1.12
     answered
    1.08
     posed
    1.03
     questions
    0.96
     Questions
    0.85
     unanswered
    0.84
     probing
    0.82
     pertaining
    0.81
     asked
    0.80
    Activations Density 0.033%

    No Known Activations