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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. 22988
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    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
    20439
    -0.77
     Prelude
    -0.74
    Dialogue
    -0.70
     recess
    -0.70
    externalActionCode
    -0.69
    itud
    -0.68
    endum
    -0.67
     Guests
    -0.66
    onse
    -0.66
    raviolet
    -0.65
    POSITIVE LOGITS
     firms
    1.63
     firm
    1.60
     companies
    1.59
     conglomerate
    1.54
     company
    1.49
     giants
    1.43
     retailer
    1.43
     giant
    1.42
     provider
    1.42
     maker
    1.35
    Activations Density 0.263%

    No Known Activations