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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. 6-RES-JB
    11. 20243
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    Explanations

    calorie-related terms

    oai_token-act-pair · gpt-3.5-turbo

    mentions of calorie counts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DragonMagazine
    -0.81
    smanship
    -0.75
    eer
    -0.71
    idable
    -0.70
    ker
    -0.69
    ership
    -0.69
     Cosponsors
    -0.69
    ioned
    -0.68
     Canal
    -0.68
     Vive
    -0.66
    POSITIVE LOGITS
     calories
    1.18
    ritional
    1.09
    rition
    1.00
     calorie
    0.98
     Calories
    0.89
     carbs
    0.87
     intake
    0.85
     caloric
    0.85
     metabolism
    0.82
    ohydrate
    0.82
    Activations Density 0.018%

    No Known Activations