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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. 23279
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    Explanations

    phrases related to socioeconomic status

    oai_token-act-pair · gpt-3.5-turbo

    references to demographics and socioeconomic status

    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
    cape
    -0.70
    mony
    -0.70
    entity
    -0.70
    potion
    -0.69
    tes
    -0.68
    MSN
    -0.67
    tle
    -0.67
    Everything
    -0.66
    DragonMagazine
    -0.66
    angelo
    -0.66
    POSITIVE LOGITS
     disadvantaged
    1.36
     poorer
    1.25
     households
    1.19
     wealthier
    1.13
     affluent
    1.04
     poverty
    1.03
     impoverished
    1.02
     deprived
    1.01
     marginalized
    1.00
     occupations
    0.98
    Activations Density 0.251%

    No Known Activations