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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. 17209
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    Explanations

    references to a brand or company named "Sweet" and potentially related terms or mentions

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "Sweet" in various contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    Downloadha
    -1.13
    kson
    -0.75
     Cheong
    -0.72
    utherford
    -0.71
     circulation
    -0.69
    doms
    -0.69
     scanners
    -0.69
    ioch
    -0.68
     scanner
    -0.68
     Uz
    -0.67
    POSITIVE LOGITS
    heart
    1.14
    eners
    1.13
    bread
    0.95
    sweet
    0.94
     Potato
    0.93
    Sweet
    0.92
    ener
    0.92
    grass
    0.89
     potato
    0.88
    ened
    0.87
    Activations Density 0.003%

    No Known Activations