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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
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    Explanations

    references to the word "milk"

    oai_token-act-pair · gpt-3.5-turbo

    references to milk and its varying contexts

    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
    izons
    -0.87
    SPONSORED
    -0.82
    angers
    -0.75
     satell
    -0.69
    asio
    -0.68
    alien
    -0.65
    âĸ¬
    -0.65
     WATCHED
    -0.63
    OPLE
    -0.61
     validity
    -0.60
    POSITIVE LOGITS
    weed
    1.10
    waukee
    0.99
     Milk
    0.98
     milk
    0.98
    fed
    0.94
    mil
    0.87
     chocolate
    0.81
    erton
    0.81
    maid
    0.80
    nih
    0.77
    Activations Density 0.010%

    No Known Activations