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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. 8-RES-JB
    11. 8048
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    Explanations

    adverbs ending in 'ly'

    oai_token-act-pair · gpt-3.5-turbo

    adverbs, particularly those ending in 'ly'

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ilater
    -0.92
    pie
    -0.76
    axter
    -0.69
     Pirates
    -0.68
    oleon
    -0.66
    itans
    -0.65
    addock
    -0.65
    eers
    -0.64
    glers
    -0.63
     vest
    -0.63
    POSITIVE LOGITS
     speaking
    0.85
     Speaking
    0.83
    tics
    0.81
     RELE
    0.79
    speaking
    0.75
     Marketable
    0.73
     Seeking
    0.72
    entimes
    0.71
     Asked
    0.70
     Played
    0.70
    Activations Density 0.083%

    No Known Activations