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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. 6-RES-JB
    11. 9743
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    Explanations

    locations or venues

    oai_token-act-pair · gpt-3.5-turbo

    references to sports venues and event locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ibilities
    -0.70
     kitten
    -0.70
     ket
    -0.66
     macros
    -0.65
    ilyn
    -0.64
    itive
    -0.64
    lishes
    -0.64
     sear
    -0.63
     Atkins
    -0.62
    CHAT
    -0.61
    POSITIVE LOGITS
     Stadium
    1.12
     Plaza
    0.98
     Coliseum
    0.96
     halftime
    0.95
    Aren
    0.91
     Arena
    0.90
     stadium
    0.89
     stadiums
    0.89
     amph
    0.88
     Oval
    0.88
    Activations Density 0.101%

    No Known Activations