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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. 11-RES-JB
    11. 26
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    Explanations

    references to specific names or titles followed by a symbol

    oai_token-act-pair · gpt-3.5-turbo

    phrases discussing societal issues and personal sentiments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     occas
    -0.98
    aditional
    -0.98
     eleph
    -0.97
     proport
    -0.95
    ò
    -0.91
     exting
    -0.87
    Þ
    -0.86
     citiz
    -0.85
     undermin
    -0.83
     tremend
    -0.82
    POSITIVE LOGITS
    ³³³
    0.83
    ↵
    0.78
    Consider
    0.74
    prem
    0.72
    ³³³³³³³³³³³³³³³³
    0.68
    Scroll
    0.68
    Specifically
    0.68
     [&
    0.67
    RNA
    0.67
    ³³³³
    0.67
    Activations Density 0.651%

    No Known Activations