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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. 3-RES-JB
    11. 15824
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    INDEX
    Explanations

    references to time windows

    oai_token-act-pair · gpt-3.5-turbo

    references to "window" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ghan
    -0.85
    IGH
    -0.83
     Haram
    -0.73
    otin
    -0.72
    ortium
    -0.70
    avez
    -0.68
     unnatural
    -0.67
    doms
    -0.67
     Flavoring
    -0.67
    icient
    -0.66
    POSITIVE LOGITS
     window
    0.93
    window
    0.91
     sill
    0.90
     pane
    0.90
     windows
    0.85
     Window
    0.84
    glass
    0.83
    edin
    0.76
    windows
    0.75
     opener
    0.74
    Activations Density 0.009%

    No Known Activations