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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. 3-RES-JB
    11. 22607
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    Explanations

    words related to sports and athletic performance, especially focusing on specific actions during gameplay

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to gameplay and player statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     encl
    -0.72
    vet
    -0.71
    AFTA
    -0.69
    igh
    -0.68
    zhou
    -0.68
     separat
    -0.68
    cult
    -0.67
    itarian
    -0.67
    elvet
    -0.66
    eday
    -0.65
    POSITIVE LOGITS
     rusher
    0.92
     scrimmage
    0.88
    uable
    0.87
    wow
    0.87
     scorer
    0.86
     touchdowns
    0.85
     halftime
    0.84
     offensively
    0.84
     totals
    0.84
     Offense
    0.82
    Activations Density 0.165%

    No Known Activations