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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. 10154
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    Explanations

    sections of text that mark the end of an article

    oai_token-act-pair · gpt-3.5-turbo

    instances of numerical data or statistics

    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
    Not in Any Lists

    No Comments

    Negative Logits
     CoC
    -0.65
     wiser
    -0.63
     obscurity
    -0.62
     placebo
    -0.61
     ancestry
    -0.58
     UX
    -0.58
     aspirin
    -0.56
     dime
    -0.56
     Pebble
    -0.55
     phased
    -0.55
    POSITIVE LOGITS
    Scroll
    1.11
    Speaking
    0.98
    Shape
    0.88
    Article
    0.87
    ³³³³³³³³
    0.84
    Asked
    0.79
    ³³³³³³³³³³³³³³³³
    0.77
    However
    0.77
    Amid
    0.76
    Labour
    0.76
    Activations Density 0.426%

    No Known Activations