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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. 0-RES-JB
    11. 5185
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    Explanations

    words related to cooking equipment, specifically pans

    oai_token-act-pair · gpt-3.5-turbo

    references to cooking utensils, specifically pans

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Disciple
    -0.81
     Bucc
    -0.67
     DEF
    -0.67
    aughty
    -0.65
     Twisted
    -0.64
    DEF
    -0.63
    isf
    -0.63
    ionage
    -0.63
     Jed
    -0.62
    HH
    -0.62
    POSITIVE LOGITS
     pan
    3.99
     pans
    2.48
     Pan
    2.15
    pan
    2.04
    Pan
    2.00
     pane
    1.39
     skillet
    1.36
     PAN
    1.35
     frying
    1.12
     panic
    1.09
    Activations Density 0.014%

    No Known Activations