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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. 11786
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    Explanations

    references to specific locations such as towns and town halls

    oai_token-act-pair · gpt-3.5-turbo

    references to towns and town hall meetings

    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
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    No Comments

    Negative Logits
    terday
    -0.75
    ulously
    -0.68
    advertisement
    -0.66
     consecut
    -0.64
     Rodgers
    -0.61
    ulous
    -0.60
    ught
    -0.60
     Amos
    -0.60
    nce
    -0.59
     chore
    -0.59
    POSITIVE LOGITS
    spe
    1.53
    ships
    1.47
    folk
    1.28
    square
    1.25
    houses
    1.25
    hall
    1.24
    house
    1.17
     hall
    1.16
     halls
    1.15
    ship
    1.10
    Activations Density 0.039%

    No Known Activations