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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. 5150
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    Explanations

    phrases related to performing tasks or actions

    oai_token-act-pair · gpt-3.5-turbo

    instructions or commands related to achieving a specific outcome or making tasks easier

    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
     dearly
    -0.68
    wikipedia
    -0.61
    rous
    -0.59
    oggles
    -0.58
     passionately
    -0.58
    riad
    -0.58
    ãģ®
    -0.57
     Methodist
    -0.55
     seldom
    -0.55
    ires
    -0.54
    POSITIVE LOGITS
     compliance
    0.80
     them
    0.78
     maximum
    0.77
     consistency
    0.76
     room
    0.75
    balance
    0.74
     compatibility
    0.73
     clarity
    0.72
     continuity
    0.69
     redundancy
    0.69
    Activations Density 0.272%

    No Known Activations