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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. 11-RES-JB
    11. 5767
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    Explanations

    specific events related to crime and tragedy

    oai_token-act-pair · gpt-3.5-turbo

    the word "that" in various contexts related to violent events or incidents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    abs
    -0.79
    WAYS
    -0.67
    bern
    -0.64
     dstg
    -0.62
    nah
    -0.62
     persuasion
    -0.60
    istant
    -0.60
    hell
    -0.60
    Being
    -0.59
    '/
    -0.59
    POSITIVE LOGITS
     culminated
    1.34
     resulted
    1.32
     lasted
    1.18
     netted
    1.15
     ended
    1.15
     ensued
    1.12
     saw
    1.06
     occurred
    1.05
     led
    1.03
     toppled
    1.03
    Activations Density 0.168%

    No Known Activations