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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. 13349
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    Explanations

    words related to titles or headings

    oai_token-act-pair · gpt-3.5-turbo

    references to titles in various contexts

    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
    gm
    -0.76
    ITH
    -0.70
    ndum
    -0.69
     clot
    -0.67
    hari
    -0.67
    iasco
    -0.64
     latt
    -0.64
    ierrez
    -0.63
     Alto
    -0.62
    ratom
    -0.62
    POSITIVE LOGITS
    title
    1.24
     title
    1.11
     titles
    1.01
    manship
    0.81
    marks
    0.80
    ãĥĩ
    0.78
    sworth
    0.74
    Hunt
    0.74
    lord
    0.72
    hd
    0.70
    Activations Density 0.010%

    No Known Activations