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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
    11. 2626
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    Explanations

    mentions of different forms of media, particularly television

    oai_token-act-pair · gpt-3.5-turbo

    references to television and related media

    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
    xual
    -0.75
    etsy
    -0.74
    leans
    -0.73
    bard
    -0.69
    ebook
    -0.68
    wegian
    -0.68
    uth
    -0.68
    forth
    -0.67
    ussen
    -0.67
    tto
    -0.67
    POSITIVE LOGITS
     broadcasts
    1.06
     commercials
    1.01
    levision
    0.95
     broadcasting
    0.90
    plays
    0.87
     broadcasters
    0.86
     viewership
    0.86
     presenter
    0.84
     antennas
    0.83
     advertisements
    0.81
    Activations Density 0.032%

    No Known Activations