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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. 3-RES-JB
    11. 3261
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    Explanations

    phrases indicating giving directions or orders

    oai_token-act-pair · gpt-3.5-turbo

    words related to giving instructions or commands

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Roses
    -0.76
     Balkans
    -0.71
    adjusted
    -0.67
     Craw
    -0.66
     Omaha
    -0.65
     á
    -0.63
    á
    -0.60
     McA
    -0.59
     Oslo
    -0.59
     Maple
    -0.58
    POSITIVE LOGITS
     instruct
    1.07
     instructed
    0.99
     instructors
    0.93
     instruction
    0.92
     Instruct
    0.90
     certific
    0.89
    htaking
    0.88
    Instruct
    0.87
    eering
    0.85
     manuals
    0.83
    Activations Density 0.019%

    No Known Activations