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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. 2-RES-JB
    6. 9784
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    INDEX
    Explanations

    words related to weather phenomena, especially lightning

    oai_token-act-pair · gpt-3.5-turbo

    references to lightning

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lied
    -0.82
    ablishment
    -0.81
    nee
    -0.80
    ophon
    -0.78
    glers
    -0.77
    artments
    -0.77
    sburgh
    -0.77
    ublic
    -0.77
    76561
    -0.76
    aum
    -0.76
    POSITIVE LOGITS
     bolt
    1.13
     lightning
    1.07
    bolt
    1.06
     bolts
    1.05
     mosqu
    0.94
    storms
    0.94
     Lightning
    0.90
     Strikes
    0.83
     Bolt
    0.82
    storm
    0.82
    Activations Density 0.007%

    No Known Activations