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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. 9-RES-JB
    11. 1867
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    Explanations

    phrases indicating actions taken for the purpose of clarity or brevity

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the concept of "sake" or purpose for clarity and brevity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    aults
    -0.76
    doms
    -0.73
    soever
    -0.67
    iberal
    -0.66
    isms
    -0.66
    ihad
    -0.62
     Tent
    -0.61
    pins
    -0.60
     Journals
    -0.60
     founded
    -0.59
    POSITIVE LOGITS
     confusion
    0.96
     clarity
    0.91
     modesty
    0.90
     comparison
    0.89
     redundancy
    0.87
     contrast
    0.86
    vity
    0.84
     clarification
    0.82
     awareness
    0.81
     ease
    0.81
    Activations Density 0.443%

    No Known Activations