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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. 4100
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    Explanations

    names that start with "Ly" followed by a single digit

    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
    DERR
    -0.77
    sburgh
    -0.68
    raints
    -0.64
     UID
    -0.60
     EDITION
    -0.59
    ardless
    -0.59
    perture
    -0.58
     Boards
    -0.57
    shots
    -0.57
    urities
    -0.56
    POSITIVE LOGITS
    onna
    1.08
    nda
    1.07
    nton
    1.02
    comed
    1.00
    rics
    0.98
    ric
    0.97
    rique
    0.96
    ttle
    0.94
    onel
    0.92
    mp
    0.92
    Activations Density 0.019%

    No Known Activations