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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. 9-RES-JB
    11. 2430
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    INDEX
    Explanations

    phrases related to sports, specifically soccer

    oai_token-act-pair · gpt-3.5-turbo

    instances of sports-related commentary or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ersive
    -0.87
    quartered
    -0.82
    chwitz
    -0.81
    inement
    -0.80
     discrim
    -0.80
    netflix
    -0.79
    onym
    -0.79
    scribe
    -0.76
     divest
    -0.75
    osexual
    -0.73
    POSITIVE LOGITS
     Seconds
    1.06
     Moments
    1.03
     Minutes
    0.98
     Shots
    0.91
    Jordan
    0.84
     Cody
    0.81
     Carlos
    0.81
     Subst
    0.80
     halftime
    0.80
     Kenny
    0.80
    Activations Density 0.203%

    No Known Activations