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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. 3207
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    oai_token-act-pair · gpt-3.5-turbo

    phrases related to requirements and regulations

    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
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    No Comments

    Negative Logits
    ----------------------------------------------------------------
    -0.67
    tumblr
    -0.66
    \.
    -0.61
     misunderstand
    -0.60
    wow
    -0.58
     misunderstanding
    -0.57
     arrogance
    -0.55
    ------------------------------------------------
    -0.55
    ;;
    -0.54
    fortunately
    -0.54
    POSITIVE LOGITS
     whenever
    0.98
     annually
    0.81
     every
    0.80
     compulsory
    0.73
    clusively
    0.73
     Mondays
    0.72
     Fridays
    0.70
     Sundays
    0.69
     lest
    0.68
    instead
    0.68
    Activations Density 0.935%

    No Known Activations