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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. 10932
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    Explanations

    names of individuals such as scientists, lawyers, and spokespeople

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of individuals and organizations

    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
     clubhouse
    -0.55
     Titanic
    -0.54
    tumblr
    -0.54
     Grateful
    -0.54
     wardrobe
    -0.53
     legacy
    -0.52
     Colossus
    -0.51
    ModLoader
    -0.51
     WOM
    -0.50
     millennials
    -0.50
    POSITIVE LOGITS
    ijn
    0.88
    oub
    0.80
    avan
    0.79
    enda
    0.77
     (@
    0.77
    inski
    0.76
    oud
    0.76
    raud
    0.75
    jen
    0.74
    itz
    0.74
    Activations Density 0.523%

    No Known Activations