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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. 4-RES-JB
    11. 16298
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    Explanations

    events or incidents involving a large number of people or casualties

    oai_token-act-pair · gpt-3.5-turbo

    references to casualty figures in reports

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

    No Comments

    Negative Logits
    GBT
    -0.70
    ãĥ¼ãĤ¯
    -0.65
    tions
    -0.65
    ggles
    -0.64
    taboola
    -0.64
    Reviewer
    -0.64
    bj
    -0.63
    NetMessage
    -0.63
    kai
    -0.63
    hement
    -0.62
    POSITIVE LOGITS
    een
    0.79
     Beir
    0.70
    uner
    0.67
    eight
    0.65
    DeliveryDate
    0.64
    Station
    0.64
    foundland
    0.64
    ety
    0.63
    onement
    0.63
     dozen
    0.63
    Activations Density 0.021%

    No Known Activations