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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
    11. 2432
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    Explanations

    mentions of actions or instructions related to using an oven

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "oven."

    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
    âĢ¢âĢ¢
    -0.74
    ku
    -0.66
     Medicaid
    -0.66
    kj
    -0.65
    ``
    -0.63
    idas
    -0.63
     Medicare
    -0.63
     DPR
    -0.62
     Investigations
    -0.62
     Cause
    -0.62
    POSITIVE LOGITS
     oven
    1.42
     furnace
    1.01
     roasted
    0.95
     stove
    0.94
     burner
    0.86
     bake
    0.85
     cleaners
    0.80
     cooker
    0.80
     Bake
    0.79
     freezer
    0.79
    Activations Density 0.007%

    No Known Activations