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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. 8-RES-JB
    11. 24225
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    Explanations

    sports stadiums and event locations

    oai_token-act-pair · gpt-3.5-turbo

    significant sports events and their locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    jriwal
    -0.64
     invention
    -0.63
     portrait
    -0.63
    erala
    -0.60
     critic
    -0.60
    acters
    -0.59
    dyl
    -0.59
     watchdog
    -0.58
     encyclopedia
    -0.58
    rower
    -0.57
    POSITIVE LOGITS
     Stadium
    1.04
     Coliseum
    0.88
     Meadows
    0.85
     Arena
    0.82
     Creek
    0.81
     Alley
    0.81
     Yards
    0.81
     Beach
    0.81
     Field
    0.80
     Ranch
    0.80
    Activations Density 0.369%

    No Known Activations