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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. 11-RES-JB
    11. 23115
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    Explanations

    phrases related to food and eating

    oai_token-act-pair · gpt-3.5-turbo

    food-related terms and descriptions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soDeliveryDate
    -0.79
    blance
    -0.75
     Voltage
    -0.74
    encers
    -0.71
    âĢ¢âĢ¢âĢ¢âĢ¢
    -0.71
     Painter
    -0.70
     attribution
    -0.69
     Dynamics
    -0.69
    paying
    -0.68
    issance
    -0.67
    POSITIVE LOGITS
     berries
    1.58
     vegetables
    1.56
     fruits
    1.45
     meat
    1.37
     fruit
    1.34
     grapes
    1.32
     flesh
    1.31
     cabbage
    1.31
     scraps
    1.31
     eggs
    1.31
    Activations Density 0.315%

    No Known Activations