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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. 7-RES-JB
    11. 17945
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    Explanations

    adverbs that indicate frequency or habits

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate frequency or habitual actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Kob
    -0.68
     Kut
    -0.65
     Orchestra
    -0.64
     Yose
    -0.61
     Mek
    -0.61
     Feld
    -0.60
    mentation
    -0.60
    aughter
    -0.60
     Kur
    -0.60
     Agenda
    -0.60
    POSITIVE LOGITS
    entimes
    0.88
     disclaim
    0.86
     suspects
    0.83
     reserved
    0.82
     speaking
    0.78
     refers
    0.74
    pmwiki
    0.73
    ensical
    0.73
     regarded
    0.72
     relegated
    0.72
    Activations Density 0.047%

    No Known Activations