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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. 23049
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    Explanations

    adjectives related to important and complex topics

    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
    trained
    -0.80
    Cola
    -0.77
    blers
    -0.72
    ressor
    -0.67
    stores
    -0.65
    mia
    -0.63
    esters
    -0.63
    bil
    -0.63
    VERT
    -0.63
    ambo
    -0.62
    POSITIVE LOGITS
     topic
    2.00
     topics
    1.88
     issue
    1.77
     issues
    1.73
     matters
    1.68
     matter
    1.67
     subject
    1.64
    issues
    1.63
     questions
    1.54
     question
    1.52
    Activations Density 0.568%

    No Known Activations