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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. 821
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    Explanations

    phrases related to the benefits or impacts of specific actions or tools

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to potential benefits and contributions of various subjects or entities

    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
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    No Comments

    Negative Logits
     sided
    -0.62
    abal
    -0.60
     crept
    -0.60
    afety
    -0.57
     Deer
    -0.57
     aired
    -0.57
     moved
    -0.57
     helicop
    -0.57
     Ranked
    -0.56
     FIR
    -0.56
    POSITIVE LOGITS
     accomplish
    0.95
    ©¶æ¥µ
    0.87
     entail
    0.87
    SourceFile
    0.85
     lacked
    0.84
     accomplished
    0.81
     achieve
    0.81
     lacks
    0.76
    ģĸ
    0.76
     entails
    0.75
    Activations Density 0.286%

    No Known Activations