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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. 1-RES-JB
    11. 7095
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    Explanations

    references to YouTube channels

    oai_token-act-pair · gpt-3.5-turbo

    references to various channels, particularly associating them with YouTube or television platforms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Raiders
    -0.67
    MAT
    -0.61
     Linda
    -0.60
    hiro
    -0.59
    ever
    -0.58
     Hockey
    -0.58
     sund
    -0.58
     Dodgers
    -0.57
    pires
    -0.57
     Consumers
    -0.56
    POSITIVE LOGITS
     channel
    1.28
     channels
    1.07
    Channel
    1.06
    lain
    0.96
    izoph
    0.94
    channel
    0.93
     Seym
    0.87
    icut
    0.82
    agall
    0.81
     Channel
    0.80
    Activations Density 0.007%

    No Known Activations