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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 2922
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to news stories and their significance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ependence
    -0.80
    emale
    -0.78
    gger
    -0.77
    gee
    -0.77
     acquaintance
    -0.76
    othal
    -0.74
    ajor
    -0.74
    alus
    -0.73
    ggie
    -0.73
    cki
    -0.73
    POSITIVE LOGITS
    Article
    0.93
     trending
    0.87
    Content
    0.86
    article
    0.85
    Interstitial
    0.78
     headlines
    0.78
     alerts
    0.75
    Trend
    0.74
     Stories
    0.74
     Torrent
    0.73
    Activations Density 0.028%

    No Known Activations