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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. 9-RES-JB
    6. 19204
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    INDEX
    Explanations

    expressions related to quantitative measurements or statistical information, particularly focusing on percentages and margins

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate proportions or measurements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    BILL
    -0.71
    priv
    -0.70
    children
    -0.70
    pless
    -0.68
    roots
    -0.66
    ãĤ°
    -0.66
    è¦ļéĨĴ
    -0.65
    Downloadha
    -0.65
    é¾įå
    -0.65
    hunter
    -0.65
    POSITIVE LOGITS
     occurrence
    0.96
     residence
    0.90
     ignition
    0.86
     engagement
    0.86
     departure
    0.84
     descent
    0.81
     propulsion
    0.81
     entry
    0.81
     operation
    0.80
    rontal
    0.80
    Activations Density 0.118%

    No Known Activations