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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. 11-RES-JB
    6. 3214
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    INDEX
    Explanations

    opportunities or instances where opportunities are mentioned

    oai_token-act-pair · gpt-3.5-turbo

    references to opportunities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SO
    -0.69
    geries
    -0.64
    arre
    -0.62
    Dispatch
    -0.62
    eros
    -0.61
    ModLoader
    -0.61
    DATA
    -0.61
    head
    -0.60
    bey
    -0.60
    arling
    -0.59
    POSITIVE LOGITS
     afforded
    1.07
     presented
    0.96
     opportunities
    0.89
     opportunity
    0.85
    llor
    0.80
     arise
    0.78
     Opportun
    0.74
     conferred
    0.74
     arises
    0.74
     arose
    0.73
    Activations Density 0.065%

    No Known Activations