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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. 4157
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    Explanations

    proper nouns or names of people and places

    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
    •ans
    #4 activation: 9.58

    No Comments

    Negative Logits
    -+-+
    -0.76
     Kinnikuman
    -0.76
    ij士
    -0.68
    ORPG
    -0.68
    =-=-=-=-
    -0.65
    OHN
    -0.62
     informational
    -0.60
    ²¾
    -0.59
    Ħ¢
    -0.59
     Sending
    -0.58
    POSITIVE LOGITS
    ibaba
    1.04
    bucks
    1.00
    iland
    0.99
    lde
    0.85
    buck
    0.81
    risome
    0.74
    ulkan
    0.73
    kees
    0.72
    erville
    0.70
    tering
    0.70
    Activations Density 0.048%

    No Known Activations