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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. 10-RES-JB
    11. 6443
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    Explanations

    phrases related to legal situations or conflicts

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "and" and constructs that include conjunctions and context around events

    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
     hiber
    -0.91
    zbollah
    -0.91
     masc
    -0.87
     Hik
    -0.85
     fem
    -0.85
     maternity
    -0.81
    ashtra
    -0.80
    idepress
    -0.80
     WhatsApp
    -0.78
     mosqu
    -0.77
    POSITIVE LOGITS
     Robertson
    1.43
     Stewart
    1.42
     Stone
    1.42
     Thornton
    1.36
    Roberts
    1.34
     Payne
    1.29
     Crawford
    1.25
     Wilkinson
    1.25
     Norton
    1.24
    Stew
    1.23
    Activations Density 0.528%

    No Known Activations