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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. 7-RES-JB
    6. 1281
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    INDEX
    Explanations

    terminology related to sports events, particularly the term "Open"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the US Open and related events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    respond
    -0.79
    acters
    -0.70
    ibrary
    -0.65
     Hera
    -0.65
     scanner
    -0.65
    ofer
    -0.63
     Gree
    -0.63
     Cato
    -0.63
    cia
    -0.62
    =-=-=-=-=-=-=-=-
    -0.62
    POSITIVE LOGITS
     Championship
    1.11
     Championships
    1.00
     tennis
    0.99
    bledon
    0.97
     Tennis
    0.93
     tournaments
    0.93
     Series
    0.92
     championship
    0.91
     derby
    0.91
     champ
    0.90
    Activations Density 0.082%

    No Known Activations