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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. 9-RES-JB
    11. 5473
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    Explanations

    proper nouns related to famous individuals

    oai_token-act-pair · gpt-3.5-turbo

    names, specifically those of individuals or characters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ELS
    -0.72
    TPS
    -0.69
    LES
    -0.66
    ADVERTISEMENT
    -0.65
    ãĥĥãĥī
    -0.64
    Morning
    -0.62
    lehem
    -0.62
    ajor
    -0.61
    ERG
    -0.61
    ORE
    -0.60
    POSITIVE LOGITS
    ogly
    0.93
    cest
    0.83
    cer
    0.82
    ced
    0.80
    getic
    0.80
    archy
    0.79
    cing
    0.77
     gland
    0.74
    dain
    0.73
     Blanc
    0.73
    Activations Density 0.058%

    No Known Activations