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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. 8-RES-JB
    11. 11353
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    keywords related to media and technology

    oai_token-act-pair · gpt-3.5-turbo

    references to media-related content

    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
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    Negative Logits
    bats
    -0.78
    0000000
    -0.76
    cker
    -0.69
    cair
    -0.68
    owsky
    -0.65
    oslav
    -0.63
    ģ«
    -0.63
     Pis
    -0.62
    abouts
    -0.62
    hyde
    -0.61
    POSITIVE LOGITS
    eval
    1.52
    wiki
    0.96
     outlets
    0.95
     literacy
    0.92
     mogul
    0.82
     conglomer
    0.81
     playback
    0.79
     mog
    0.77
     outlet
    0.73
     empires
    0.72
    Activations Density 0.036%

    No Known Activations