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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. 3-RES-JB
    11. 8203
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    Explanations

    words related to cycling and races, particularly focusing on climbs and finishes

    oai_token-act-pair · gpt-3.5-turbo

    terms related to competitive sports and athletic performance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    taboola
    -0.85
     Barron
    -0.85
    ibrary
    -0.85
     Neighbor
    -0.82
    FBI
    -0.81
    Washington
    -0.77
    food
    -0.74
     FBI
    -0.74
     Occupy
    -0.73
     Soup
    -0.71
    POSITIVE LOGITS
     lapt
    0.99
     derby
    0.94
     Championships
    0.94
     racing
    0.92
     doping
    0.91
     tyre
    0.90
     tyres
    0.89
     Racing
    0.89
     manoeuv
    0.88
     championship
    0.87
    Activations Density 0.457%

    No Known Activations