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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. 3307
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    INDEX
    Explanations

    proper nouns or names of specific entities

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "which" followed by various forms of information or descriptions

    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
    any
    -0.69
    cup
    -0.63
    Sharp
    -0.63
    PORT
    -0.59
    bart
    -0.59
    ANN
    -0.58
     ."
    -0.57
    Quantity
    -0.55
     Sapphire
    -0.55
    ani
    -0.54
    POSITIVE LOGITS
     spearheaded
    0.78
     accompanies
    0.78
     originally
    0.73
     owns
    0.71
     ordinarily
    0.69
    idth
    0.69
     oversees
    0.68
     resided
    0.68
     comprises
    0.68
     normally
    0.68
    Activations Density 0.155%

    No Known Activations