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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. 5-RES-JB
    6. 18450
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    INDEX
    Explanations

    phrases related to pursuing or targeting someone or something

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "going after."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Released
    -0.76
    Chart
    -0.73
    uten
    -0.73
    aez
    -0.72
    Near
    -0.69
    Catalog
    -0.69
    Thirty
    -0.69
    UTION
    -0.68
    ï¸
    -0.67
    ailand
    -0.66
    POSITIVE LOGITS
    market
    0.85
    wards
    0.74
     tweaking
    0.70
     whistleblowers
    0.70
     installing
    0.69
     delivering
    0.68
     controlling
    0.68
     inspecting
    0.68
     deleting
    0.67
     supper
    0.67
    Activations Density 0.036%

    No Known Activations