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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. 17377
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    Explanations

    sports-related actions and events, particularly in baseball

    oai_token-act-pair · gpt-3.5-turbo

    events or actions in a sports context

    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
     Canaver
    -0.84
    rooms
    -0.80
    forums
    -0.77
     forums
    -0.75
    models
    -0.74
     Forums
    -0.72
    achine
    -0.71
    phabet
    -0.71
    owship
    -0.71
     subreddits
    -0.70
    POSITIVE LOGITS
    pointer
    0.96
     interception
    0.93
     takedown
    0.92
    Shot
    0.92
     header
    0.90
     volley
    0.89
     fingert
    0.89
     shots
    0.86
     touchdown
    0.83
    shot
    0.82
    Activations Density 0.181%

    No Known Activations