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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. 8-RES-JB
    11. 2192
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    INDEX
    Explanations

    phrases related to negative impacts or threats

    oai_token-act-pair · gpt-3.5-turbo

    references to negative or harmful concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vironment
    -0.80
    buquerque
    -0.79
    enhagen
    -0.76
    Voice
    -0.75
    requency
    -0.74
    matically
    -0.72
    reetings
    -0.71
     PROG
    -0.71
    Profile
    -0.67
    ihad
    -0.67
    POSITIVE LOGITS
     vortex
    0.80
     metast
    0.79
     whereby
    0.79
     unravel
    0.78
     spun
    0.77
     weeds
    0.75
     spinning
    0.73
     sucking
    0.73
     erected
    0.71
     concoct
    0.70
    Activations Density 0.819%

    No Known Activations