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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. 11-RES-JB
    11. 11956
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    Explanations

    instructions related to cooking methods

    oai_token-act-pair · gpt-3.5-turbo

    measurements and cooking instructions for preparing recipes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     acron
    -0.83
    amaz
    -0.70
    enhagen
    -0.69
    abus
    -0.68
     inev
    -0.67
    ograms
    -0.66
    adeon
    -0.66
    ACA
    -0.66
    és
    -0.64
     glitches
    -0.64
    POSITIVE LOGITS
     skillet
    1.17
     bowl
    1.16
     blender
    1.12
     frying
    1.05
     sauce
    0.98
     mixing
    0.93
     mortar
    0.93
     microwave
    0.93
     mixer
    0.90
     pan
    0.89
    Activations Density 0.065%

    No Known Activations