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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. 8-RES-JB
    11. 12994
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    INDEX
    Explanations

    verbs related to constructing or building

    oai_token-act-pair · gpt-3.5-turbo

    references to construction and building activities

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    genre
    -0.83
     Topics
    -0.80
    dos
    -0.77
    Publisher
    -0.76
    Filename
    -0.74
    ĸļ
    -0.74
    channelAvailability
    -0.73
    Topic
    -0.73
    azine
    -0.72
    topic
    -0.72
    POSITIVE LOGITS
     dams
    1.02
     toilets
    1.01
     walls
    1.00
     monuments
    1.00
     fences
    0.98
     taller
    0.97
     buildings
    0.94
     dwellings
    0.93
     stadiums
    0.92
     shelters
    0.90
    Activations Density 0.171%

    No Known Activations