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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. 11-RES-JB
    11. 14115
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    Explanations

    names or parts of names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    specific proper nouns or names within the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Willis
    -0.94
    essee
    -0.88
     UNC
    -0.80
    Mel
    -0.80
     Mont
    -0.79
    mel
    -0.79
    negie
    -0.77
     Winston
    -0.76
    Tenn
    -0.75
     Carnegie
    -0.75
    POSITIVE LOGITS
     Bag
    1.59
     Nag
    1.48
    ag
    1.48
     Hog
    1.47
     Hag
    1.41
     Sag
    1.38
    ags
    1.36
     Vag
    1.36
     Fog
    1.35
     Pag
    1.33
    Activations Density 0.411%

    No Known Activations