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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. 6-RES-JB
    11. 24485
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    Explanations

    references to appearances on TV and radio shows

    oai_token-act-pair · gpt-3.5-turbo

    references to television and talk shows

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    gas
    -0.75
    ewater
    -0.72
     hemisphere
    -0.68
    acterial
    -0.68
    beer
    -0.65
    ffect
    -0.65
    illard
    -0.64
    pled
    -0.63
     icy
    -0.63
    weak
    -0.62
    POSITIVE LOGITS
     commercials
    0.85
     aired
    0.80
     Firefly
    0.79
     sitcom
    0.78
    levision
    0.76
     tv
    0.74
     Colbert
    0.73
     Showtime
    0.72
     CNBC
    0.71
     airing
    0.71
    Activations Density 0.075%

    No Known Activations