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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 16573
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    INDEX
    Explanations

    mentions of TV news broadcasters

    oai_token-act-pair · gpt-3.5-turbo

    references to television and broadcasting entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    currency
    -0.71
    urion
    -0.70
    hammad
    -0.68
    cule
    -0.68
    lins
    -0.66
    ventory
    -0.66
    hot
    -0.64
    ven
    -0.63
    leans
    -0.63
    20439
    -0.63
    POSITIVE LOGITS
    ILLE
    1.39
    NZ
    0.93
     Everywhere
    0.91
     Channel
    0.85
    ideo
    0.81
     Camer
    0.76
    Sav
    0.75
     Broadcasting
    0.74
    oggles
    0.73
    LV
    0.73
    Activations Density 0.033%

    No Known Activations