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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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    Explanations

    references to calorie counts in text

    oai_token-act-pair · gpt-3.5-turbo

    references to calorie content in various foods

    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
     Vive
    -0.69
    shore
    -0.65
     Economic
    -0.65
    âĢ¢âĢ¢
    -0.65
     Hearing
    -0.64
    ioned
    -0.63
     PBS
    -0.62
    European
    -0.61
     ASC
    -0.61
     Franch
    -0.61
    POSITIVE LOGITS
     calories
    1.19
    ritional
    1.14
     calorie
    1.05
    rition
    0.99
    orie
    0.99
     Calories
    0.89
     caloric
    0.87
     carbs
    0.85
    aceous
    0.84
    rients
    0.81
    Activations Density 0.009%

    No Known Activations