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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
    11. 20030
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    Explanations

    proper names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of individuals

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Gloria
    -0.69
     censor
    -0.67
     Pixie
    -0.67
     Canaver
    -0.66
     Suzanne
    -0.65
     Capitalism
    -0.65
     Feminist
    -0.64
     fundament
    -0.63
     Rowling
    -0.63
     Joan
    -0.63
    POSITIVE LOGITS
     Jr
    1.08
     III
    0.96
    acca
    0.86
     Sapp
    0.83
     teammate
    0.82
     Rookie
    0.79
     (.
    0.76
     teammates
    0.76
     Sr
    0.75
     aka
    0.75
    Activations Density 0.128%

    No Known Activations