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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. 4-RES-JB
    6. 5556
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    INDEX
    Explanations

    comparative statements emphasizing additional information or importance

    oai_token-act-pair · gpt-3.5-turbo

    the word "more" in various contexts

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

    No Comments

    Negative Logits
    Enlarge
    -0.82
    atan
    -0.71
    ļé
    -0.69
    xtap
    -0.68
     Classification
    -0.67
     Passage
    -0.66
    boy
    -0.65
     ILCS
    -0.65
    itudes
    -0.62
     Reconstruction
    -0.62
    POSITIVE LOGITS
     than
    1.23
     importantly
    1.20
     ado
    1.01
     Than
    0.93
     stringent
    0.90
     sophisticated
    0.87
     efficient
    0.82
    than
    0.82
     expensive
    0.81
     mature
    0.80
    Activations Density 0.138%

    No Known Activations