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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 5313
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    Explanations

    information related to news articles and announcements, especially regarding investments, updates, and events

    oai_token-act-pair · gpt-3.5-turbo

    dates and locations mentioned in the text

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
     Boo
    -0.61
     incompet
    -0.61
     straw
    -0.60
     sshd
    -0.59
     doubles
    -0.58
     chop
    -0.58
     curls
    -0.57
     originals
    -0.56
     temp
    -0.56
     placeholder
    -0.55
    POSITIVE LOGITS
     PRESIDENT
    0.77
    ENS
    0.73
    Statement
    0.71
    âĶĢ
    0.70
    INESS
    0.70
    CLUS
    0.68
    Summary
    0.66
    GROUND
    0.66
    SHARE
    0.66
    TO
    0.66
    Activations Density 0.095%

    No Known Activations