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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. 1-RES-JB
    11. 22366
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    Explanations

    mentions of the sport "tennis" and related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to tennis

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    utter
    -0.70
    ibal
    -0.64
     Samar
    -0.64
     plur
    -0.63
    ibus
    -0.63
     Citizens
    -0.63
     Kurd
    -0.62
    resh
    -0.62
    grave
    -0.62
    igun
    -0.62
    POSITIVE LOGITS
    bledon
    1.45
     tennis
    1.41
     Tennis
    1.27
     volleyball
    1.10
    bowl
    0.93
     pian
    0.85
    ercise
    0.84
     Cricket
    0.83
    BALL
    0.83
     chess
    0.83
    Activations Density 0.007%

    No Known Activations