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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. 9-RES-JB
    6. 8114
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    names or terms related to a specific entity "Tan"

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ¡
    -0.70
     Verd
    -0.66
    Ö¼
    -0.65
     Madison
    -0.65
     laure
    -0.64
    âĸĪâĸĪ
    -0.64
    Madison
    -0.64
    pton
    -0.62
     Mellon
    -0.62
    sis
    -0.62
    POSITIVE LOGITS
    nery
    1.33
    ning
    1.18
    jong
    1.01
    oco
    1.00
    geon
    0.99
    uki
    0.97
    quer
    0.97
    zan
    0.96
    jug
    0.92
    agra
    0.88
    Activations Density 0.050%

    No Known Activations