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    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. 12851
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    INDEX
    Explanations

    mentions of professionals, specifically chefs

    oai_token-act-pair · gpt-3.5-turbo

    references to skilled professionals and their attitudes or actions 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
     Territories
    -0.90
     Beaver
    -0.68
    Operation
    -0.65
     Verb
    -0.62
     Coast
    -0.61
     Railroad
    -0.59
     Operation
    -0.59
     Rover
    -0.59
     Maurit
    -0.58
     Wonderland
    -0.58
    POSITIVE LOGITS
    hip
    1.33
    paces
    1.23
    ervatives
    1.19
    hips
    1.11
    mith
    1.09
    ervative
    0.95
    ynthesis
    0.92
    pace
    0.91
    folk
    0.91
    aurus
    0.90
    Activations Density 0.249%

    No Known Activations