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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. 10-RES-JB
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    mentions of cheese

    oai_token-act-pair · gpt-3.5-turbo

    mentions of cheese

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ITNESS
    -0.79
    igious
    -0.78
    mable
    -0.78
    oday
    -0.76
    aylor
    -0.76
    uating
    -0.71
    istar
    -0.71
    igators
    -0.69
    uate
    -0.68
    osterone
    -0.68
    POSITIVE LOGITS
    cloth
    1.40
     cheese
    1.20
     slic
    1.17
     sandwiches
    1.16
     Cheese
    1.11
     fries
    1.08
     sandwich
    1.04
     sauce
    1.02
     chees
    1.02
     bread
    1.00
    Activations Density 0.030%

    No Known Activations