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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. 1-RES-JB
    11. 23161
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    Explanations

    instructions related to using or operating an oven

    oai_token-act-pair · gpt-3.5-turbo

    references to ovens

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hips
    -0.74
     Investigations
    -0.68
    Journal
    -0.68
     Hume
    -0.66
     Lives
    -0.65
    Priv
    -0.65
    States
    -0.65
    Rich
    -0.64
    Invest
    -0.64
    ulton
    -0.64
    POSITIVE LOGITS
     oven
    1.53
     furnace
    1.06
     roasted
    1.01
     bake
    0.94
    nesday
    0.94
     stove
    0.93
     burner
    0.90
     freezer
    0.89
    nuts
    0.86
     cooker
    0.85
    Activations Density 0.005%

    No Known Activations