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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. 1-RES-JB
    11. 13539
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    Explanations

    references to recipients of awards or recognition

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the term "winners" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Dwell
    -0.68
    ORE
    -0.68
    gun
    -0.66
    Gun
    -0.65
    ña
    -0.64
    JM
    -0.62
    Di
    -0.62
     Ox
    -0.62
     Alz
    -0.60
    WI
    -0.59
    POSITIVE LOGITS
     winners
    1.15
     losers
    0.99
     winner
    0.93
    paces
    0.92
     giveaway
    0.89
     Winners
    0.88
     prizes
    0.87
    Winner
    0.86
    ettings
    0.86
    hip
    0.85
    Activations Density 0.010%

    No Known Activations