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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. 4-RES-JB
    11. 9591
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    Explanations

    lines of text in code snippets

    oai_token-act-pair · gpt-3.5-turbo

    references to specific lines of code or instructions related to programming or scripting

    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
     tremend
    -0.86
    ravel
    -0.84
    CLASSIFIED
    -0.79
    rift
    -0.79
    raints
    -0.78
    sburg
    -0.78
    ricular
    -0.76
    rontal
    -0.75
    osponsors
    -0.74
    sylvania
    -0.74
    POSITIVE LOGITS
    breaks
    0.95
    backer
    0.80
    line
    0.78
    ages
    0.78
     Lines
    0.77
    skip
    0.76
     lines
    0.75
     line
    0.71
    lines
    0.69
     endings
    0.68
    Activations Density 0.019%

    No Known Activations