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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. 13234
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    Explanations

    names or proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of people and places

    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
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    No Comments

    Negative Logits
     parity
    -0.69
    ivably
    -0.63
    NetMessage
    -0.62
    rencies
    -0.62
    abwe
    -0.62
     advoc
    -0.62
    atism
    -0.60
    terday
    -0.60
    ,,,,,,,,
    -0.60
     plur
    -0.59
    POSITIVE LOGITS
     River
    0.93
     Creek
    0.92
     Islands
    0.91
     Hotel
    0.89
     Brothers
    0.87
     Sisters
    0.87
     Hills
    0.85
     Corridor
    0.84
    boro
    0.84
     Valley
    0.84
    Activations Density 0.333%

    No Known Activations