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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. 0-RES-JB
    11. 7738
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    INDEX
    Explanations

    mentions or descriptions of basic skills, concepts, or understanding

    oai_token-act-pair · gpt-3.5-turbo

    references to fundamental or essential requirements

    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
    undo
    -0.74
    ildo
    -0.69
    mouth
    -0.65
    assadors
    -0.65
    rim
    -0.64
    cession
    -0.63
     Releases
    -0.62
    abilia
    -0.62
    vale
    -0.61
    "]=>
    -0.61
    POSITIVE LOGITS
     basic
    3.46
    basic
    2.67
     basics
    2.33
     Basic
    2.25
    Basic
    2.22
     rudimentary
    2.00
     fundamental
    1.89
     simple
    1.58
     essentials
    1.49
     fundamentals
    1.49
    Activations Density 0.018%

    No Known Activations