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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. 11-RES-JB
    11. 5296
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    Explanations

    sentences introducing a new piece of information

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks and sentence endings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     undermin
    -0.91
     exha
    -0.87
    mbuds
    -0.85
     skelet
    -0.83
     councill
    -0.83
     eleph
    -0.81
     tremend
    -0.80
    ò
    -0.80
    senal
    -0.79
     tradem
    -0.78
    POSITIVE LOGITS
    JUST
    1.24
    Photos
    1.11
    CNN
    0.99
     Replay
    0.92
     CNN
    0.87
     ï
    0.86
    `.
    0.74
    `
    0.71
    `,
    0.69
     IMAGES
    0.68
    Activations Density 0.183%

    No Known Activations