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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. 8501
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    Explanations

    words related to self-reflection and personal growth

    oai_token-act-pair · gpt-3.5-turbo

    themes related to personal growth and mindfulness

    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
     Illegal
    -0.80
     piracy
    -0.75
     Spons
    -0.74
    Lago
    -0.73
    76561
    -0.72
     sponsoring
    -0.72
     Printing
    -0.72
     Printed
    -0.71
     Coff
    -0.70
    venue
    -0.69
    POSITIVE LOGITS
     understand
    1.51
     empath
    1.49
     realize
    1.46
     comprehend
    1.44
     consciously
    1.41
     realise
    1.38
     appreciate
    1.35
     learn
    1.33
     grasp
    1.32
     perceive
    1.32
    Activations Density 0.343%

    No Known Activations