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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. 23047
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    Explanations

    information related to different types of meats and their production methods

    oai_token-act-pair · gpt-3.5-turbo

    terms related to meat, its production, and environmental impacts

    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
    Atl
    -1.01
    iazep
    -0.89
    DCS
    -0.84
    ipolar
    -0.84
     Spells
    -0.83
     Dot
    -0.82
    soDeliveryDate
    -0.81
    Arc
    -0.81
     Jung
    -0.80
     Dropbox
    -0.80
    POSITIVE LOGITS
     pork
    1.97
     meat
    1.79
     beef
    1.75
     Pork
    1.70
     poultry
    1.69
     steak
    1.68
     meats
    1.67
     roast
    1.64
    Meat
    1.63
     butcher
    1.62
    Activations Density 0.303%

    No Known Activations