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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. 4-RES-JB
    6. 23079
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    Explanations

    TV networks and specific TV shows

    oai_token-act-pair · gpt-3.5-turbo

    mentions of television networks and streaming services

    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
    ysis
    -0.76
     Hast
    -0.68
     Adin
    -0.65
    bitcoin
    -0.64
     DPR
    -0.63
    ertodd
    -0.63
     subsistence
    -0.61
    xit
    -0.61
     Bitcoin
    -0.60
     drilled
    -0.60
    POSITIVE LOGITS
     Studios
    0.95
    ovies
    0.93
     Films
    0.89
     blockbuster
    0.86
    levision
    0.85
     sequels
    0.83
     exec
    0.79
     Classics
    0.79
     adaptation
    0.78
     Television
    0.78
    Activations Density 0.206%

    No Known Activations