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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. 11-RES-JB
    11. 2092
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    Explanations

    statistical information related to sports performances

    oai_token-act-pair · gpt-3.5-turbo

    numerical statistics related to sports performance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uala
    -0.78
     Vive
    -0.76
     Wem
    -0.70
    oise
    -0.70
     Paddock
    -0.68
     Mali
    -0.67
     Merlin
    -0.67
     Guardians
    -0.65
     Nokia
    -0.65
     Emin
    -0.65
    POSITIVE LOGITS
     strikeouts
    1.19
     batters
    1.12
     innings
    1.04
     RBI
    1.03
     homers
    1.01
     homer
    0.99
     ERA
    0.95
     inning
    0.95
    ERA
    0.94
    inning
    0.93
    Activations Density 0.065%

    No Known Activations