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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. 10-RES-JB
    11. 5734
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    Explanations

    **phrases related to deaths and casualties

    oai_token-act-pair · gpt-3.5-turbo

    references to fatalities and deaths

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ellar
    -0.70
     Starr
    -0.63
    idth
    -0.58
     beginnings
    -0.55
    Zip
    -0.54
    inventoryQuantity
    -0.54
    idelity
    -0.54
    ivot
    -0.54
     vanity
    -0.54
     Fountain
    -0.54
    POSITIVE LOGITS
     apiece
    0.86
     deaths
    0.75
     fatalities
    0.74
     casualties
    0.72
     worldwide
    0.70
    soever
    0.69
     including
    0.69
    mortem
    0.69
    ously
    0.68
    liest
    0.68
    Activations Density 0.092%

    No Known Activations