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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. 3572
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    keywords related to different types of power generation, with a strong preference for nuclear power

    oai_token-act-pair · gpt-3.5-turbo

    references to power generation sources, particularly nuclear power

    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
    romeda
    -0.82
     Von
    -0.80
    eret
    -0.72
     Niet
    -0.70
    olkien
    -0.69
    PHOTOS
    -0.68
    eryl
    -0.68
     Canon
    -0.66
     Schiff
    -0.66
    ead
    -0.65
    POSITIVE LOGITS
    houses
    1.16
     generators
    1.00
     outage
    0.97
     plants
    0.90
     stations
    0.85
    train
    0.84
    plant
    0.84
    station
    0.83
    lifting
    0.83
    boats
    0.82
    Activations Density 0.030%

    No Known Activations