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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. 8121
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    Explanations

    declarations of estimated quantities or statistics

    oai_token-act-pair · gpt-3.5-turbo

    phrases that convey statistical estimates or predictions

    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
    ierre
    -0.83
    ãĤ¦ãĤ¹
    -0.81
    galitarian
    -0.77
    dayName
    -0.71
    displayText
    -0.70
    estamp
    -0.70
    urai
    -0.68
    onne
    -0.68
    å¦
    -0.67
    ĪĴ
    -0.67
    POSITIVE LOGITS
     approximately
    0.98
     total
    0.89
     between
    0.87
     roughly
    0.86
     worth
    0.85
     tens
    0.84
     Approximately
    0.81
     350
    0.81
     somewhere
    0.81
     500
    0.79
    Activations Density 0.253%

    No Known Activations