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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. 0-RES-JB
    11. 12847
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    INDEX
    Explanations

    locations mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to locations and backgrounds in a document

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    netflix
    -0.71
     fraternity
    -0.66
    icter
    -0.61
     tee
    -0.61
     rapt
    -0.60
     partition
    -0.60
    forth
    -0.60
     pandemonium
    -0.60
     brig
    -0.59
     temperament
    -0.57
    POSITIVE LOGITS
     Location
    2.69
     Description
    1.75
     Summary
    1.70
     Background
    1.63
    Location
    1.17
     Overview
    1.10
     Appearance
    1.02
     Locations
    0.99
    Description
    0.94
     Duration
    0.91
    Activations Density 0.023%

    No Known Activations