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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. 12621
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    Explanations

    phrases related to policies and regulations

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to compliance and regulatory frameworks regarding gender identity and bathroom access

    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
     Flavoring
    -0.76
    pora
    -0.73
    bara
    -0.67
    ammy
    -0.66
    rush
    -0.66
    laughter
    -0.65
     Tears
    -0.62
     âĵĺ
    -0.61
    ihara
    -0.60
    wl
    -0.59
    POSITIVE LOGITS
     appropriately
    1.45
     correctly
    1.42
     accordance
    1.33
     accordingly
    1.33
     properly
    1.32
     wisely
    1.31
    appropriately
    1.31
     appropriate
    1.25
     smoothly
    1.25
     responsibly
    1.24
    Activations Density 0.867%

    No Known Activations