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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. 12000
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    Explanations

    mentions or references to a specific place or person named "Or"

    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
    -0.65
     stripes
    -0.59
     bases
    -0.58
     unions
    -0.56
     profiling
    -0.56
     conver
    -0.55
     deduction
    -0.54
    BILITIES
    -0.54
     floating
    -0.53
     traps
    -0.53
    POSITIVE LOGITS
    chard
    1.47
    chid
    1.44
    phan
    1.42
    phans
    1.42
    pheus
    1.37
    lando
    1.36
    leans
    1.31
    anges
    1.29
    thodox
    1.29
    acles
    1.23
    Activations Density 0.023%

    No Known Activations