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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. 9-RES-JB
    11. 8694
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    Explanations

    phrases related to societal categorization and treatment of individuals based on different criteria such as race, gender, and social status

    oai_token-act-pair · gpt-3.5-turbo

    references to social inequality and discrimination

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Intel
    -0.78
    eton
    -0.76
     Brewing
    -0.75
     Trails
    -0.71
    enium
    -0.67
    ynthesis
    -0.66
     deregulation
    -0.66
    mentioned
    -0.66
    xon
    -0.65
     understatement
    -0.65
    POSITIVE LOGITS
     expend
    1.16
     disposable
    1.15
     deserving
    1.12
     unworthy
    1.07
     oppressed
    1.06
     criminals
    1.05
     victims
    1.04
     equals
    1.03
     pests
    1.01
     sinners
    1.00
    Activations Density 0.463%

    No Known Activations