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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. 1-RES-JB
    11. 5425
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to dietary needs and nutrition

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hift
    -0.73
     Bee
    -0.68
     Pon
    -0.67
    ships
    -0.65
     Stellar
    -0.65
    EMS
    -0.64
    onies
    -0.64
     Kinnikuman
    -0.64
     Wanted
    -0.63
    ground
    -0.63
    POSITIVE LOGITS
     carbohyd
    1.07
    ritional
    1.05
     habits
    1.01
     dietary
    1.00
     supplements
    0.99
     cholesterol
    0.93
     diets
    0.93
     carbohydrates
    0.86
     intake
    0.86
     diet
    0.86
    Activations Density 0.005%

    No Known Activations