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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. 0-RES-JB
    11. 5211
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    terms related to complexity

    oai_token-act-pair · gpt-3.5-turbo

    terms related to complexity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    meet
    -0.67
     headed
    -0.67
     harb
    -0.66
    Cola
    -0.66
    bolt
    -0.64
     Photo
    -0.63
     illegally
    -0.63
     Drops
    -0.62
    shirt
    -0.62
    apers
    -0.61
    POSITIVE LOGITS
     complexity
    3.63
     complexities
    2.41
     sophistication
    1.98
     richness
    1.82
     nuance
    1.75
    complex
    1.72
     simplicity
    1.68
     ambiguity
    1.51
     uniqueness
    1.51
     complication
    1.47
    Activations Density 0.013%

    No Known Activations