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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 13582
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    Explanations

    phrases related to specific actions or events

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases indicating time or occurrence

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ],"
    -0.61
    "}],"
    -0.57
    querade
    -0.55
    arthy
    -0.54
    emale
    -0.54
    ',"
    -0.54
    igenous
    -0.53
    æł
    -0.53
    EngineDebug
    -0.52
    ãĥĺãĥ©
    -0.49
    POSITIVE LOGITS
    cknowled
    0.62
    cing
    0.52
    terness
    0.49
    asm
    0.43
     Streaming
    0.42
     Cah
    0.42
     Faster
    0.41
     Finder
    0.41
     SPI
    0.40
     Leaf
    0.40
    Activations Density 0.781%

    No Known Activations