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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. 14519
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    INDEX
    Explanations

    instances of the word "basic" with high activation

    oai_token-act-pair · gpt-3.5-turbo

    references to fundamental concepts or principles

    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
    romeda
    -0.76
    igham
    -0.75
    oping
    -0.68
    ibal
    -0.65
    Magazine
    -0.64
    crow
    -0.64
    quit
    -0.62
    _-
    -0.62
     prow
    -0.61
    Gate
    -0.61
    POSITIVE LOGITS
     necessities
    1.07
    basic
    1.07
     tenets
    0.98
     arithmetic
    0.95
     principles
    0.85
    lly
    0.83
     premise
    0.83
     gist
    0.82
     basic
    0.81
    essential
    0.81
    Activations Density 0.018%

    No Known Activations