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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. 7628
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    Explanations

    years or dates

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "in" and its variations in time-related contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    kids
    -0.77
     texted
    -0.74
    Netflix
    -0.72
    zbollah
    -0.70
    paces
    -0.70
     bloggers
    -0.70
    blogs
    -0.69
    hover
    -0.67
    ross
    -0.67
    wcs
    -0.67
    POSITIVE LOGITS
     1904
    1.77
     1905
    1.77
     1909
    1.76
     1935
    1.74
     1919
    1.74
     1896
    1.74
     1897
    1.74
     1895
    1.73
     1924
    1.73
     1912
    1.72
    Activations Density 0.244%

    No Known Activations