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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
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    Explanations

    universities and academic institutions

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "University of" followed by various university names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     coloring
    -0.68
    downs
    -0.67
     claws
    -0.67
     curtains
    -0.64
    itiveness
    -0.64
    wcs
    -0.63
     chalk
    -0.63
     matt
    -0.63
     hint
    -0.63
     chopping
    -0.62
    POSITIVE LOGITS
     Applied
    0.84
     Sao
    0.81
     Rochester
    0.80
    ortunately
    0.76
     Warwick
    0.76
     Georgia
    0.76
    foundland
    0.76
     Peace
    0.75
     California
    0.75
     Notre
    0.75
    Activations Density 0.050%

    No Known Activations