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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. 0-RES-JB
    11. 1263
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    Explanations

    keywords related to sports or sports-related entities

    oai_token-act-pair · gpt-3.5-turbo

    references to sports and sports-related content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     tremend
    -0.78
     molten
    -0.71
     veil
    -0.71
     mand
    -0.70
     rul
    -0.70
     moth
    -0.69
    ¶
    -0.68
     jars
    -0.68
     infect
    -0.66
     latt
    -0.66
    POSITIVE LOGITS
     Sports
    3.79
    Sports
    2.96
     Sport
    2.43
     SPORTS
    2.43
    sports
    2.36
     sports
    2.22
    Sport
    2.18
     Soccer
    1.79
     Tennis
    1.76
     Baseball
    1.74
    Activations Density 0.009%

    No Known Activations