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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. 0-RES-JB
    11. 11853
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    Explanations

    references to the luxury brand "Hublot"

    oai_token-act-pair · gpt-3.5-turbo

    references to lotteries

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Survivors
    -0.73
     triggers
    -0.68
     insurgents
    -0.66
     survivors
    -0.64
     symptoms
    -0.63
     reach
    -0.63
     summ
    -0.62
     educators
    -0.61
     comrades
    -0.61
     suicide
    -0.61
    POSITIVE LOGITS
    lot
    5.17
    Lot
    1.73
     Lot
    1.41
    lash
    1.20
    lain
    1.18
    maid
    1.13
     LOT
    1.11
    lane
    1.06
    lip
    1.04
    lit
    1.03
    Activations Density 0.017%

    No Known Activations