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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. 10-RES-JB
    11. 8240
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    Explanations

    phrases related to diversity and inclusivity

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize diversity and inclusion across various demographics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    LESS
    -0.76
    ozy
    -0.75
    ahead
    -0.69
    parser
    -0.66
     Rack
    -0.65
     Pound
    -0.64
     Mole
    -0.63
    lessly
    -0.63
    esson
    -0.61
    forcer
    -0.61
    POSITIVE LOGITS
     backgrounds
    1.58
     genders
    1.55
     faiths
    1.50
     sexes
    1.40
     ages
    1.37
     age
    1.25
     religions
    1.21
     ethnicity
    1.20
     professions
    1.16
     ethnic
    1.16
    Activations Density 0.211%

    No Known Activations