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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. 2863
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    Explanations

    names of people

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns or 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
    Not in Any Lists

    No Comments

    Negative Logits
    Nar
    -0.65
     Migration
    -0.62
    col
    -0.62
    ãĤ¯
    -0.61
     citiz
    -0.60
     Scientists
    -0.59
    ãĤµ
    -0.55
     division
    -0.55
     dawn
    -0.54
     Mao
    -0.52
    POSITIVE LOGITS
    's
    0.99
     himself
    0.98
     Jr
    0.90
     Sr
    0.86
     Industries
    0.78
     herself
    0.78
    tsy
    0.77
     Presents
    0.76
    aneously
    0.75
     voluntarily
    0.75
    Activations Density 0.217%

    No Known Activations