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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. 24077
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    Explanations

    words related to power and energy

    oai_token-act-pair · gpt-3.5-turbo

    references to electricity and its generation

    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
    romeda
    -0.88
     Von
    -0.82
     Schiff
    -0.74
     Caesar
    -0.73
    eret
    -0.70
    roma
    -0.70
     Taste
    -0.68
     Debor
    -0.68
    oslov
    -0.67
     Mara
    -0.65
    POSITIVE LOGITS
     outage
    1.04
    houses
    0.97
    train
    0.93
     cords
    0.88
     levers
    0.82
    stroke
    0.78
    lifting
    0.78
    atts
    0.78
    boats
    0.78
     generators
    0.77
    Activations Density 0.030%

    No Known Activations