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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. 1499
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    INDEX
    Explanations

    references to specific game numbers in sports

    oai_token-act-pair · gpt-3.5-turbo

    references to sporting events and game statistics

    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
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    Negative Logits
    anty
    -0.81
    company
    -0.72
     skilled
    -0.67
    future
    -0.67
    hidden
    -0.66
    inet
    -0.66
    atan
    -0.66
    iw
    -0.65
    mor
    -0.65
    urat
    -0.64
    POSITIVE LOGITS
     festivities
    0.74
     Arena
    0.73
    ħĭ
    0.71
     onwards
    0.71
     Tactics
    0.71
     onward
    0.68
    ITIES
    0.67
     Finals
    0.66
     Countdown
    0.66
     Premiere
    0.65
    Activations Density 0.056%

    No Known Activations