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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. 4-RES-JB
    11. 16421
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    Explanations

    adverbs ending in 'ently'

    oai_token-act-pair · gpt-3.5-turbo

    adverbs, especially those indicating frequency or intensity

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

    No Comments

    Negative Logits
    emaker
    -0.73
     Velvet
    -0.69
     clubhouse
    -0.65
    pez
    -0.65
    soDeliveryDate
    -0.64
     Iceland
    -0.64
     Chancellor
    -0.62
     legend
    -0.61
     Underworld
    -0.60
     Pact
    -0.59
    POSITIVE LOGITS
    ently
    0.86
    uations
    0.84
    encies
    0.82
    entimes
    0.80
    uated
    0.79
    rical
    0.77
     enumer
    0.76
     priced
    0.75
    rehend
    0.73
    zed
    0.73
    Activations Density 0.009%

    No Known Activations