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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. 2201
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    Explanations

    decisions or the act of making decisions

    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
    bour
    -0.81
    Mania
    -0.71
     Niet
    -0.70
    hood
    -0.63
    Fram
    -0.62
    Demon
    -0.58
     Ples
    -0.57
     alluded
    -0.56
    hens
    -0.56
    agher
    -0.55
    POSITIVE LOGITS
     decisions
    1.15
     sure
    1.13
     mistakes
    1.08
     adjustments
    1.03
     assumptions
    1.01
     judgments
    0.99
     excuses
    0.98
    hift
    0.94
     choices
    0.92
     strides
    0.91
    Activations Density 0.134%

    No Known Activations