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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. 12684
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    Explanations

    descriptions related to ensuring quality, safety, and fairness in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to fairness and accuracy in various contexts

    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
     pity
    -0.70
     todd
    -0.68
     unlucky
    -0.64
     longing
    -0.62
     unwitting
    -0.62
    secret
    -0.60
     synth
    -0.60
     poets
    -0.60
     bliss
    -0.59
    famous
    -0.59
    POSITIVE LOGITS
     regardless
    0.86
     irrespective
    0.83
    itably
    0.80
    etitive
    0.78
    ible
    0.75
     throughout
    0.75
    range
    0.74
     whilst
    0.73
    é¾įå¥ij士
    0.73
    iable
    0.72
    Activations Density 0.472%

    No Known Activations