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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. 6364
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    Explanations

    phrases related to natural disasters, accidents, and incidents of violence

    oai_token-act-pair · gpt-3.5-turbo

    references to natural disasters and their impacts

    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
    veland
    -0.76
    uci
    -0.74
    baum
    -0.69
    oyer
    -0.69
    erential
    -0.69
    anye
    -0.69
    ppa
    -0.67
    ledge
    -0.66
    ensical
    -0.66
    Initialized
    -0.65
    POSITIVE LOGITS
     Cambodia
    0.76
     perpetrated
    0.76
     Greenwald
    0.72
     inflicted
    0.69
     Mahm
    0.68
     Kafka
    0.68
     Archdemon
    0.67
     euth
    0.67
     Reincarn
    0.65
     Marian
    0.65
    Activations Density 1.473%

    No Known Activations