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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. 2-RES-JB
    6. 9807
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    INDEX
    Explanations

    keywords related to travel and transportation, specifically boarding-related terms

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "boarding" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    icity
    -0.92
    ifer
    -0.79
    tymology
    -0.76
    usting
    -0.75
    encers
    -0.74
    utenberg
    -0.73
     Rove
    -0.72
    FTWARE
    -0.71
    natureconservancy
    -0.70
     recession
    -0.70
    POSITIVE LOGITS
     boarding
    1.42
    boarding
    0.96
    folios
    0.93
    board
    0.91
    houses
    0.82
    hurst
    0.81
    house
    0.81
    otle
    0.80
     boarded
    0.80
    crew
    0.79
    Activations Density 0.007%

    No Known Activations