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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. 11-RES-JB
    11. 21460
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    Explanations

    words related to concepts of respect, dignity, and reverence

    oai_token-act-pair · gpt-3.5-turbo

    themes related to respect and dignity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Lans
    -0.94
     residue
    -0.68
     paran
    -0.60
     rese
    -0.59
     explos
    -0.58
     entangled
    -0.58
     cram
    -0.57
     stabilization
    -0.57
     concoct
    -0.57
     accelerator
    -0.57
    POSITIVE LOGITS
    ability
    1.55
    ably
    1.17
    ible
    1.13
    fully
    1.08
    abilities
    1.07
    ibly
    1.04
    ful
    1.03
    amental
    1.01
    ility
    1.00
    able
    1.00
    Activations Density 0.060%

    No Known Activations