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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    Explanations

    the word "bout"

    oai_token-act-pair · gpt-3.5-turbo

    repeated references to competitive events or contests, particularly "bouts."

    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
    alien
    -0.64
     Migration
    -0.63
    nel
    -0.62
     Staff
    -0.61
    626
    -0.61
    Engineers
    -0.60
    keys
    -0.60
    ERO
    -0.58
     Engineers
    -0.57
     Cthulhu
    -0.57
    POSITIVE LOGITS
     bout
    4.18
     bouts
    2.05
     Bout
    1.66
     rematch
    1.36
    fight
    0.94
     matchup
    0.92
     fight
    0.89
     duel
    0.86
     setback
    0.84
     clash
    0.83
    Activations Density 0.010%

    No Known Activations