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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. 8756
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    Explanations

    keywords related to credit and debit card transactions

    oai_token-act-pair · gpt-3.5-turbo
    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
    gha
    -0.73
    zel
    -0.72
     Bei
    -0.68
    xy
    -0.68
    hm
    -0.68
    ,,,,
    -0.67
     Wem
    -0.67
    ++++++++
    -0.66
    tering
    -0.66
     Siem
    -0.65
    POSITIVE LOGITS
     card
    1.35
    card
    1.27
     cards
    1.22
     CARD
    1.18
    cards
    1.17
    worthiness
    1.15
    Card
    1.08
     Cards
    1.07
    worthy
    1.00
     Card
    0.94
    Activations Density 0.025%

    No Known Activations