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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 6-RES-JB
    11. 20633
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    INDEX
    Explanations

    sports-related information, such as football games and player names

    oai_token-act-pair · gpt-3.5-turbo

    references to sports events and player performances

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ertodd
    -0.83
    xual
    -0.82
     moder
    -0.80
     popul
    -0.79
     arrang
    -0.76
    orno
    -0.74
     accomp
    -0.73
    swer
    -0.72
    ropy
    -0.71
     sett
    -0.71
    POSITIVE LOGITS
    Notable
    1.01
     Chiefs
    0.99
    Coach
    0.99
    Players
    0.93
    Stats
    0.91
    Game
    0.88
     Bears
    0.87
    Denver
    0.87
    CAST
    0.85
    Sports
    0.85
    Activations Density 0.253%

    No Known Activations