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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. 18377
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    Explanations

    numerical statistics related to sports performance

    oai_token-act-pair · gpt-3.5-turbo

    references to specific sports statistics and performance indicators

    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
    rooms
    -0.74
    upon
    -0.73
    minster
    -0.72
    ties
    -0.71
    hops
    -0.69
    enance
    -0.67
    zee
    -0.67
    bons
    -0.64
     Roose
    -0.63
     Sabha
    -0.63
    POSITIVE LOGITS
     scoreboard
    0.86
     defensive
    0.81
     verge
    0.79
     doorstep
    0.79
     bench
    0.79
     occasion
    0.79
     bounce
    0.78
     brink
    0.78
     roster
    0.78
     heels
    0.76
    Activations Density 0.066%

    No Known Activations