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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. 13509
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    phrases related to improvement or enhancement

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to improvement and enhancement

    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
     whence
    -0.71
    fork
    -0.66
    mad
    -0.65
    zza
    -0.64
    NetMessage
    -0.62
    £ı
    -0.61
     reluctantly
    -0.61
    åŃIJ
    -0.61
    kk
    -0.60
    ounce
    -0.60
    POSITIVE LOGITS
     efficiency
    1.30
     reliability
    1.13
     chances
    1.12
     competitiveness
    1.09
     responsiveness
    1.08
     accuracy
    1.07
     productivity
    1.06
     visibility
    1.06
     morale
    1.05
     quality
    1.04
    Activations Density 0.217%

    No Known Activations