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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 23588
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    INDEX
    Explanations

    relations of necessity or causation, often involving actions that result in specific outcomes

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to making or ensuring safety and effectiveness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Twain
    -0.67
    nih
    -0.64
    ãģ®å
    -0.63
    inventoryQuantity
    -0.62
    clinton
    -0.62
    imov
    -0.60
    alam
    -0.59
    gov
    -0.59
    netflix
    -0.57
    nces
    -0.57
    POSITIVE LOGITS
     safely
    0.73
     purposes
    0.69
     desired
    0.69
    ropolis
    0.69
    burse
    0.62
    orman
    0.62
    uate
    0.61
     eventual
    0.60
    ctic
    0.58
    orage
    0.58
    Activations Density 0.893%

    No Known Activations