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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
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    Explanations

    specific measurements or quantities of food items

    oai_token-act-pair · gpt-3.5-turbo

    references to food items and their prices or quantities

    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
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    No Comments

    Negative Logits
     Powers
    -0.77
     departures
    -0.72
     ACTIONS
    -0.71
     investigator
    -0.69
     timelines
    -0.68
    judicial
    -0.68
     surveillance
    -0.68
     Jed
    -0.66
     advers
    -0.66
     experien
    -0.66
    POSITIVE LOGITS
    Cola
    0.92
    Sweet
    0.91
     nutritious
    0.88
     roasted
    0.87
     tasted
    0.87
     vinegar
    0.87
     flavour
    0.86
    Ingredients
    0.86
    cake
    0.85
     powder
    0.84
    Activations Density 0.612%

    No Known Activations