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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. 4-RES-JB
    11. 9207
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    Explanations

    mentions of the sport "hockey"

    oai_token-act-pair · gpt-3.5-turbo

    references to hockey and related themes

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

    No Comments

    Negative Logits
    graded
    -0.78
    ividual
    -0.76
    Reviewer
    -0.74
    urat
    -0.71
     Passenger
    -0.70
    UTC
    -0.69
    later
    -0.68
    ablishment
    -0.68
     Runner
    -0.66
    anamo
    -0.64
    POSITIVE LOGITS
     hockey
    0.95
     academy
    0.90
     rink
    0.87
     soccer
    0.80
     moms
    0.79
     circles
    0.77
     enthusiasts
    0.77
     puck
    0.76
    bowl
    0.75
     clubs
    0.74
    Activations Density 0.025%

    No Known Activations