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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. 4-RES-JB
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    references to television shows

    oai_token-act-pair · gpt-3.5-turbo

    references to television shows and series

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

    No Comments

    Negative Logits
     taxed
    -0.68
     fractured
    -0.64
     porous
    -0.64
     isolation
    -0.63
     streng
    -0.61
     key
    -0.60
    decl
    -0.60
    century
    -0.60
     tasted
    -0.59
     settling
    -0.58
    POSITIVE LOGITS
    runners
    0.89
     sitcom
    0.89
    levision
    0.86
    enegger
    0.85
    biz
    0.81
     commercials
    0.80
     Firefly
    0.80
    runner
    0.80
    frey
    0.80
     contestant
    0.80
    Activations Density 0.068%

    No Known Activations