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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. 4364
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    Explanations

    words related to improvement and enhancement, such as safety, transparency, quality, and efficiency

    oai_token-act-pair · gpt-3.5-turbo

    terms related to improvement and enhancement 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
     unpublished
    -0.62
     Canaver
    -0.61
     Edmund
    -0.58
     expired
    -0.56
     boxed
    -0.55
     incap
    -0.55
     blister
    -0.55
     exile
    -0.54
     infamous
    -0.54
     mutated
    -0.53
    POSITIVE LOGITS
     among
    1.01
     amongst
    0.98
     levels
    0.95
    among
    0.95
     efficiency
    0.90
     across
    0.88
     effectiveness
    0.84
     globally
    0.82
     competitiveness
    0.81
     quicker
    0.81
    Activations Density 0.333%

    No Known Activations