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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. 7-RES-JB
    11. 1444
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    Explanations

    phrases related to social interaction or communication

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to connecting or interacting with others

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    price
    -0.82
     teasp
    -0.74
    corn
    -0.70
    done
    -0.66
    quad
    -0.66
    fighter
    -0.66
     weighed
    -0.63
    moon
    -0.62
    meal
    -0.60
    vu
    -0.59
    POSITIVE LOGITS
     peers
    0.81
     strangers
    0.79
    inge
    0.73
     fellow
    0.71
     passers
    0.70
     Heavenly
    0.70
    inges
    0.69
     coworkers
    0.67
     clients
    0.65
     Osc
    0.65
    Activations Density 0.118%

    No Known Activations