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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. 4-RES-JB
    11. 1201
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    Explanations

    names of various fruits

    oai_token-act-pair · gpt-3.5-turbo

    food items or culinary references

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

    No Comments

    Negative Logits
    etheless
    -0.76
     coron
    -0.70
     compr
    -0.66
    iscopal
    -0.65
    istance
    -0.64
     disg
    -0.64
     reper
    -0.63
    ifiable
    -0.62
     bias
    -0.61
     converter
    -0.61
    POSITIVE LOGITS
     Bowl
    0.97
     Soup
    0.93
     Pie
    0.93
    Pie
    0.91
     Balls
    0.91
     Events
    0.87
     Party
    0.87
     Products
    0.87
     Shop
    0.87
     Shirt
    0.86
    Activations Density 0.091%

    No Known Activations