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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. 6410
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    Explanations

    names of various locations

    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
    reason
    -0.76
    azel
    -0.69
    rez
    -0.67
    ionic
    -0.66
    asy
    -0.66
    oire
    -0.65
    ibly
    -0.65
    Hong
    -0.64
    razil
    -0.63
    letter
    -0.62
    POSITIVE LOGITS
     Borough
    1.22
     Town
    1.17
     Airport
    1.17
     AFB
    1.14
     Township
    1.14
     Valley
    1.12
     Parish
    1.10
     Village
    1.10
     County
    1.10
     City
    1.05
    Activations Density 0.172%

    No Known Activations