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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. 10861
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    Explanations

    organizations and entities, such as businesses, governments, and industry-related groups

    oai_token-act-pair · gpt-3.5-turbo

    references to government and organizational structures

    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
     lawy
    -0.72
    Leaks
    -0.65
     scapego
    -0.64
    Suddenly
    -0.63
     inco
    -0.62
     Canaver
    -0.61
    istle
    -0.61
     blaming
    -0.61
     supposed
    -0.60
    Fear
    -0.60
    POSITIVE LOGITS
    excluding
    0.73
     alike
    0.71
     Regions
    0.71
     Areas
    0.66
     locations
    0.65
     destinations
    0.65
     VIP
    0.64
     respectively
    0.63
     PLUS
    0.62
     Priority
    0.62
    Activations Density 0.739%

    No Known Activations