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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. 7-RES-JB
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    references to martial arts and related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to martial arts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ilk
    -0.84
    idy
    -0.80
    RGB
    -0.77
    greSQL
    -0.76
    istors
    -0.75
    uter
    -0.74
    bos
    -0.72
    orb
    -0.71
    perture
    -0.71
    ources
    -0.69
    POSITIVE LOGITS
     arts
    1.08
     martial
    0.85
     practitioners
    0.81
    fighting
    0.78
     Arts
    0.78
     prowess
    0.77
     Martial
    0.76
     chore
    0.73
     oath
    0.73
    inho
    0.70
    Activations Density 0.020%

    No Known Activations