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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 21821
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    Explanations

    dates and proper names in a structured format

    oai_token-act-pair · gpt-3.5-turbo

    sequences of numerical data or percentages in discussions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     antioxid
    -0.72
    Magikarp
    -0.71
     exha
    -0.68
     adolesc
    -0.68
    76561
    -0.66
    .""
    -0.63
    Balt
    -0.62
    DAQ
    -0.62
     undermin
    -0.59
     corrid
    -0.59
    POSITIVE LOGITS
    ↵
    1.68
    <|endoftext|>
    1.21
    ↵Âł
    1.11
    ↵↵
    1.09
     While
    0.79
     These
    0.77
     This
    0.77
     However
    0.75
     Edit
    0.75
     Also
    0.74
    Activations Density 1.815%

    No Known Activations