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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. 138
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    Explanations

    mentions or references of "mustard"

    oai_token-act-pair · gpt-3.5-turbo

    references to mustard and related condiments

    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
    accompanied
    -0.72
    ranged
    -0.72
    planned
    -0.71
    alter
    -0.69
    elected
    -0.69
    quished
    -0.68
     Archdemon
    -0.68
    iannopoulos
    -0.68
    verend
    -0.67
    nels
    -0.67
    POSITIVE LOGITS
     mustard
    1.15
     cabbage
    0.84
    bean
    0.84
     mustache
    0.83
     potato
    0.81
     onion
    0.80
    bowl
    0.80
     tomato
    0.79
    fruit
    0.77
     stains
    0.76
    Activations Density 0.014%

    No Known Activations