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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 16124
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ModLoader
    -0.80
     Confederation
    -0.80
    culosis
    -0.79
    ashtra
    -0.69
    âĶĢâĶĢ
    -0.69
     Dhabi
    -0.67
    terday
    -0.67
    renheit
    -0.66
    >>\
    -0.65
    duino
    -0.65
    POSITIVE LOGITS
    isner
    0.83
    oner
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    aney
    0.82
    antz
    0.81
    utsch
    0.80
    agan
    0.78
    agg
    0.78
    onson
    0.78
    iggs
    0.74
    iso
    0.74
    Activations Density 0.198%

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