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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. 12-RES-JB
    11. 5101
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    Explanations

    text related to scientific research and studies

    oai_token-act-pair · gpt-3.5-turbo
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    terms and phrases related to history and social commentary

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     Naj
    -0.80
     Uriel
    -0.72
    phrine
    -0.72
    actionDate
    -0.69
     Sahara
    -0.67
    emis
    -0.66
    imming
    -0.66
     Yosemite
    -0.64
    thumbnails
    -0.64
     SAM
    -0.63
    POSITIVE LOGITS
     Co
    2.56
    Co
    2.28
     co
    1.95
    co
    1.93
     Cooper
    1.58
     CO
    1.55
    CO
    1.55
     Cooperative
    1.44
     Cooke
    1.44
     cooperative
    1.33
    Activations Density 0.273%

    No Known Activations