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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. 9355
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    INDEX
    Explanations

    specific organizations, entities, and proper nouns mentioned in interviews or articles

    oai_token-act-pair · gpt-3.5-turbo

    names of organizations, companies, or countries

    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
    Not in Any Lists

    No Comments

    Negative Logits
    given
    -0.65
     *.
    -0.59
    .''.
    -0.57
    ppard
    -0.54
     destro
    -0.54
     Yug
    -0.54
    */(
    -0.53
    aceae
    -0.53
    .'"
    -0.51
    obyl
    -0.51
    POSITIVE LOGITS
    Media
    0.65
    Leaks
    0.64
     Observer
    0.61
     Newsp
    0.60
     Oversight
    0.60
     Herald
    0.59
    Blog
    0.59
    news
    0.57
    Channel
    0.56
    Privacy
    0.56
    Activations Density 1.136%

    No Known Activations