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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. 2399
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    INDEX
    Explanations

    references to specific locations, specifically "Bradford" and "Leeds"

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of places

    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
    alt
    -0.83
    Philipp
    -0.70
    arks
    -0.70
     Sark
    -0.69
     advis
    -0.69
    Russ
    -0.68
     Osh
    -0.68
     usher
    -0.68
     Nem
    -0.68
     Walt
    -0.68
    POSITIVE LOGITS
     Bradford
    2.32
     Leeds
    2.12
     Sheffield
    1.72
     Giles
    1.54
     Barnett
    1.27
     HS
    1.18
     Mae
    1.16
     Tripoli
    1.14
     Epstein
    1.10
     Dunham
    1.08
    Activations Density 0.040%

    No Known Activations