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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. 15518
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    INDEX
    Explanations

    phrases related to sports events and activities

    oai_token-act-pair · gpt-3.5-turbo

    events related to sports games and crucial moments within them

    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
    paio
    -0.92
    chwitz
    -0.87
    netflix
    -0.86
    enegger
    -0.79
    sonian
    -0.76
    scribe
    -0.70
    uctor
    -0.70
    quartered
    -0.70
     Quote
    -0.70
    onym
    -0.68
    POSITIVE LOGITS
     playoffs
    0.86
     shootout
    0.83
     opener
    0.83
     innings
    0.81
     playoff
    0.79
     inning
    0.78
     halftime
    0.76
     season
    0.75
     overtime
    0.74
     postseason
    0.74
    Activations Density 0.291%

    No Known Activations