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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. 13918
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    Explanations

    terms related to sports team rosters

    oai_token-act-pair · gpt-3.5-turbo

    references to sports team rosters

    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
    Consumer
    -0.74
    ials
    -0.74
    cart
    -0.72
     Verb
    -0.72
    cia
    -0.71
    nai
    -0.71
    bart
    -0.69
     Occ
    -0.66
    ously
    -0.64
    ãĥī
    -0.63
    POSITIVE LOGITS
     mates
    1.13
    mates
    0.98
     rosters
    0.96
     lineup
    0.96
    rons
    0.95
     roster
    0.94
     mate
    0.92
     swaps
    0.90
     shuffle
    0.90
     rotation
    0.89
    Activations Density 0.067%

    No Known Activations