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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. 11-RES-JB
    11. 159
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    Explanations

    So, Neuron 4 is looking for specific references to sports teams and leagues

    oai_token-act-pair · gpt-3.5-turbo

    references to sports teams and events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Klingon
    -0.99
     CST
    -0.95
     wolf
    -0.90
    wolf
    -0.88
    agog
    -0.84
     cattle
    -0.84
    yss
    -0.84
    Clark
    -0.83
     wolves
    -0.83
     Trek
    -0.82
    POSITIVE LOGITS
    Miami
    2.39
     Miami
    2.35
     Dolphins
    2.02
     Marlins
    1.82
     Hurricanes
    1.82
     Heat
    1.77
    iami
    1.63
     Bosh
    1.57
    olphins
    1.45
     Coral
    1.44
    Activations Density 0.170%

    No Known Activations