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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. 5088
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    Explanations

    words related to emotions or emotional expression

    oai_token-act-pair · gpt-3.5-turbo

    words related to emotion and emotional regulation

    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
    mans
    -0.73
     Annex
    -0.70
    Dou
    -0.68
     Municip
    -0.67
    iago
    -0.67
    linux
    -0.65
    ingen
    -0.64
     Cover
    -0.64
     Sloven
    -0.62
    udo
    -0.62
    POSITIVE LOGITS
     feelings
    0.98
    ality
    0.98
     conveyed
    0.90
     aroused
    0.90
     emotion
    0.89
     emotions
    0.88
    terness
    0.88
     expressed
    0.88
    uality
    0.84
    rained
    0.84
    Activations Density 0.050%

    No Known Activations