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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. 6092
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    phrases related to addressing issues or concerns

    oai_token-act-pair · gpt-3.5-turbo

    phrases that mention addressing issues or concerns

    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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    Negative Logits
    ischer
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    walk
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    warm
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    POSITIVE LOGITS
     issues
    1.15
     shortcomings
    1.13
     questions
    1.08
     concerns
    1.08
     deficiencies
    1.01
     grievances
    1.00
     problems
    0.99
     misconceptions
    0.88
     criticisms
    0.88
     inequalities
    0.87
    Activations Density 0.059%

    No Known Activations