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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. 10-RES-JB
    11. 3419
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    Explanations

    statistics related to sports performance

    oai_token-act-pair · gpt-3.5-turbo

    statistics related to basketball player performance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Tuc
    -0.77
     Lerner
    -0.73
    netflix
    -0.67
    foundland
    -0.66
    csv
    -0.65
    00000000
    -0.64
    Ħ¢
    -0.64
     corrid
    -0.63
    士
    -0.63
     Lanc
    -0.63
    POSITIVE LOGITS
     rebounds
    1.23
     rebound
    0.83
     assists
    0.83
     dun
    0.79
     baskets
    0.79
     dunk
    0.78
    pointer
    0.77
     steals
    0.75
    pointers
    0.74
     assist
    0.73
    Activations Density 0.122%

    No Known Activations