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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 11548
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    Explanations

    mentions of milk

    oai_token-act-pair · gpt-3.5-turbo

    references to milk in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SPONSORED
    -0.78
     lawy
    -0.75
    vernment
    -0.71
    âĸ¬
    -0.69
    ISE
    -0.69
     Manuel
    -0.67
     Exile
    -0.67
    izons
    -0.66
    nces
    -0.65
     landfall
    -0.64
    POSITIVE LOGITS
    weed
    1.37
    maid
    1.09
    waukee
    1.02
    fed
    0.97
     chocolate
    0.92
    fat
    0.90
    erton
    0.87
    nut
    0.86
     milk
    0.86
    haus
    0.83
    Activations Density 0.033%

    No Known Activations