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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. 7-RES-JB
    11. 11808
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    Explanations

    events where large crowds gather

    oai_token-act-pair · gpt-3.5-turbo

    contexts involving large gatherings or crowds of people

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inventoryQuantity
    -0.84
     causation
    -0.74
    deal
    -0.72
     Decay
    -0.71
    OLOGY
    -0.67
     implants
    -0.67
    senal
    -0.67
     patents
    -0.66
    ãĥīãĥ©ãĤ´ãĥ³
    -0.66
    framework
    -0.65
    POSITIVE LOGITS
     cheering
    1.02
     chanting
    1.02
     cheered
    0.96
     spectators
    0.89
     rall
    0.88
     applaud
    0.88
     chanted
    0.87
     onlook
    0.84
     mourn
    0.84
     gasped
    0.84
    Activations Density 0.361%

    No Known Activations