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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. 10-RES-JB
    6. 19441
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    Explanations

    marketing-related terms like "updates" and "promotions"

    oai_token-act-pair · gpt-3.5-turbo

    terms related to updates and promotions from a news source

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    conn
    -0.59
    efer
    -0.53
     denomin
    -0.50
     oun
    -0.50
    asus
    -0.50
     Secondly
    -0.50
    amina
    -0.50
     hog
    -0.50
     SAN
    -0.50
    abase
    -0.49
    POSITIVE LOGITS
    interstitial
    0.67
     categorized
    0.60
     widest
    0.56
    felt
    0.56
    terms
    0.55
    piracy
    0.55
     promotions
    0.55
    auri
    0.54
    Afee
    0.54
     Featured
    0.54
    Activations Density 0.030%

    No Known Activations