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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. 6281
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    Explanations

    locations or regions, specifically focusing on directional indicators (such as northern or southern)

    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
    Sharp
    -0.84
    ynt
    -0.83
    enable
    -0.79
    Money
    -0.77
    roo
    -0.77
    Room
    -0.76
    Frames
    -0.75
    Filter
    -0.74
    neutral
    -0.74
    Boo
    -0.73
    POSITIVE LOGITS
    most
    1.55
     hemisphere
    1.36
     regions
    1.09
     suburbs
    1.06
     provinces
    1.01
     region
    1.01
     extrem
    0.97
     portion
    0.92
     edge
    0.92
     periphery
    0.90
    Activations Density 0.046%

    No Known Activations