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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
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    references to nutrition and related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to nutrition

    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
    76561
    -0.92
     Feather
    -0.72
     Siem
    -0.67
     Templar
    -0.66
     Sight
    -0.65
    bery
    -0.65
    oning
    -0.63
     Garrison
    -0.63
     Planetary
    -0.62
     McKenna
    -0.61
    POSITIVE LOGITS
    rition
    1.27
    nutrition
    1.03
     nutrition
    1.01
    ritional
    0.99
    acea
    0.93
     nutrit
    0.90
    aceutical
    0.86
     malnutrition
    0.86
    itionally
    0.83
    etics
    0.83
    Activations Density 0.010%

    No Known Activations