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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. 17547
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    Explanations

    proper names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of people

    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
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    Negative Logits
     Cinderella
    -0.76
    âĶĢâĶĢ
    -0.74
     Reincarn
    -0.72
     Pharaoh
    -0.72
    stood
    -0.68
    thood
    -0.63
     adventurers
    -0.63
     robbers
    -0.63
     hikers
    -0.61
    viation
    -0.61
    POSITIVE LOGITS
    zinski
    0.85
     (@
    0.82
     contributed
    0.76
    ullivan
    0.75
    atz
    0.68
     embed
    0.66
    ucci
    0.66
     tweeted
    0.65
    bard
    0.64
     retweet
    0.63
    Activations Density 0.246%

    No Known Activations