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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. 6-RES-JB
    6. 13020
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    INDEX
    Explanations

    mentions of burning or being burnt

    oai_token-act-pair · gpt-3.5-turbo

    words related to burning or destruction by fire

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ournal
    -0.72
    onsense
    -0.69
    plom
    -0.68
    xus
    -0.66
    alian
    -0.66
    odore
    -0.65
    egal
    -0.65
    stood
    -0.64
    DonaldTrump
    -0.64
    IJ
    -0.64
    POSITIVE LOGITS
    ished
    1.06
    ishing
    1.01
     burning
    0.96
     hotter
    0.95
     burn
    0.94
    ishes
    0.94
     burns
    0.87
    houses
    0.85
     burned
    0.85
    burning
    0.83
    Activations Density 0.030%

    No Known Activations