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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. 12-RES-JB
    11. 4915
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    Explanations

    references to sports scores and statistics

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    references to goals and scoring in sports contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     Bachelor
    -0.65
     Starship
    -0.63
     Actions
    -0.63
     Workers
    -0.62
     Flesh
    -0.61
     Sons
    -0.61
     Expedition
    -0.60
     Commands
    -0.59
     Riders
    -0.59
    orld
    -0.59
    POSITIVE LOGITS
    mouth
    1.20
    keepers
    1.11
    keeping
    1.09
    core
    1.04
    scoring
    1.02
     scorer
    0.95
    keeper
    0.95
     scored
    0.89
    stre
    0.89
    posts
    0.86
    Activations Density 0.052%

    No Known Activations