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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. 3-RES-JB
    11. 23756
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    Explanations

    instructions or details related to ovens and baking

    oai_token-act-pair · gpt-3.5-turbo

    references to cooking processes involving an oven

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    idas
    -0.71
     DPR
    -0.71
    pend
    -0.71
    âĢ¢âĢ¢
    -0.69
    ku
    -0.69
     Cause
    -0.68
    wealth
    -0.67
     Medicaid
    -0.66
     Investigations
    -0.64
     pledging
    -0.64
    POSITIVE LOGITS
     oven
    1.32
     furnace
    0.97
     roasted
    0.85
     stove
    0.83
     Bake
    0.81
     bake
    0.80
     freezer
    0.77
    idge
    0.77
    washer
    0.75
    nuts
    0.74
    Activations Density 0.007%

    No Known Activations