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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. 10-RES-JB
    6. 1706
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    Explanations

    details related to geographic locations and historical events

    oai_token-act-pair · gpt-3.5-turbo

    specific geographic and production-related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    \":
    -0.73
    ').
    -0.72
    ovember
    -0.70
    Balt
    -0.65
    ',"
    -0.65
     gard
    -0.63
    ','
    -0.63
    ]=
    -0.62
    gru
    -0.62
    .):
    -0.62
    POSITIVE LOGITS
     Date
    1.27
     Availability
    1.27
     Location
    1.24
     Description
    1.24
     Categories
    1.23
     Category
    1.21
     Duration
    1.20
     Status
    1.19
     Classification
    1.14
     Release
    1.14
    Activations Density 0.145%

    No Known Activations