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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. 4-RES-JB
    11. 20612
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    Explanations

    highly impactful or significant words or phrases

    oai_token-act-pair · gpt-3.5-turbo

    phrases that mention or reference "words."

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

    No Comments

    Negative Logits
    ño
    -0.76
    ramid
    -0.74
    DERR
    -0.74
    izo
    -0.72
    vy
    -0.70
     millenn
    -0.69
    olls
    -0.67
     Skydragon
    -0.66
    ascus
    -0.62
    qa
    -0.62
    POSITIVE LOGITS
    mith
    1.46
     spoken
    0.93
     uttered
    0.92
     words
    0.89
    poons
    0.83
    writers
    0.80
     aloud
    0.80
    sworth
    0.79
    speak
    0.78
    terday
    0.78
    Activations Density 0.017%

    No Known Activations