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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. 5239
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    Explanations

    information related to American football positions and plays, particularly focusing on pass rushing and defense strategies

    oai_token-act-pair · gpt-3.5-turbo
    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
    iewicz
    -0.78
    thood
    -0.74
     plur
    -0.74
    iatus
    -0.73
     Wage
    -0.72
    chev
    -0.71
    henko
    -0.70
    auga
    -0.70
    opsis
    -0.67
    ¯¯¯¯
    -0.66
    POSITIVE LOGITS
     rusher
    1.14
     rush
    1.04
     interference
    1.00
     protection
    0.94
     rushing
    0.94
     protector
    0.91
    catching
    0.91
     blocker
    0.90
     blocking
    0.88
    blocking
    0.87
    Activations Density 0.027%

    No Known Activations