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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. 0-RES-JB
    11. 6620
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    Explanations

    phrases related to death or serious medical conditions

    oai_token-act-pair · gpt-3.5-turbo

    references to death

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     integration
    -0.70
     integ
    -0.67
     Integration
    -0.66
    "}],"
    -0.65
     magn
    -0.65
     view
    -0.64
    aments
    -0.63
    occup
    -0.62
    onomy
    -0.62
     improvement
    -0.62
    POSITIVE LOGITS
    Dead
    3.82
    dead
    3.32
     DEAD
    2.78
     Dead
    2.57
     dead
    1.98
     Deadpool
    1.58
     Deadline
    1.57
     Deadly
    1.46
     Dying
    1.35
    Death
    1.29
    Activations Density 0.018%

    No Known Activations