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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
    11. 7688
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    Explanations

    terms related to dietary habits and nutritional needs

    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 @ 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
    hift
    -0.77
    uber
    -0.72
     Wanted
    -0.71
    alach
    -0.69
    oning
    -0.69
     Kinnikuman
    -0.68
    onies
    -0.67
    ships
    -0.67
     Clifford
    -0.66
    etter
    -0.66
    POSITIVE LOGITS
     supplements
    1.00
    ritional
    0.99
     habits
    0.94
     carbohyd
    0.92
     dietary
    0.91
     intake
    0.88
     cholesterol
    0.88
     diets
    0.86
     intakes
    0.85
     fats
    0.85
    Activations Density 0.007%

    No Known Activations