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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. 6-RES-JB
    11. 14968
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    Explanations

    expressions of relief and happiness

    oai_token-act-pair · gpt-3.5-turbo

    expressions of positive emotions and feelings of relief

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •layer 6 - joy

    No Comments

    Negative Logits
    ngth
    -0.84
    soDeliveryDate
    -0.82
    ãĥ´ãĤ¡
    -0.79
    uyomi
    -0.76
    æ©
    -0.72
    asons
    -0.71
    alach
    -0.70
     sidx
    -0.67
     guiActiveUn
    -0.64
    Ö¼
    -0.63
    POSITIVE LOGITS
    clus
    0.87
     arrival
    0.80
     welcoming
    0.79
     reunited
    0.78
     greeted
    0.72
     tid
    0.72
     arri
    0.72
     awaiting
    0.70
     reunion
    0.70
     awaited
    0.70
    Activations Density 0.330%

    No Known Activations