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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. 3-RES-JB
    11. 16111
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    Explanations

    words related to breaking news stories or events that draw significant public attention

    oai_token-act-pair · gpt-3.5-turbo

    references to news headlines or significant media mentions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ramid
    -0.78
    tein
    -0.73
    ress
    -0.69
    erate
    -0.69
    uv
    -0.69
    ivas
    -0.68
    auga
    -0.68
    versely
    -0.68
    eln
    -0.67
    enhagen
    -0.67
    POSITIVE LOGITS
     headlines
    1.30
     headline
    0.87
     COVER
    0.83
    Pict
    0.73
     proclaiming
    0.72
    mith
    0.72
     flares
    0.70
    ãĥŀ
    0.70
    mast
    0.70
    waves
    0.68
    Activations Density 0.015%

    No Known Activations