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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. 2-RES-JB
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    Explanations

    information related to calorie content in food and beverages

    oai_token-act-pair · gpt-3.5-turbo

    references to calories and calorie counts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ker
    -0.75
    eer
    -0.69
     PBS
    -0.66
    shore
    -0.66
     Economic
    -0.66
     Foley
    -0.65
     Cosponsors
    -0.64
     Hearing
    -0.64
    kers
    -0.64
    gotten
    -0.63
    POSITIVE LOGITS
     calories
    1.28
    ritional
    1.16
     calorie
    1.06
     Calories
    0.97
    orie
    0.93
    rition
    0.93
     caloric
    0.93
     gobl
    0.87
     carbs
    0.86
     burns
    0.86
    Activations Density 0.008%

    No Known Activations