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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. 14124
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    Explanations

    proper nouns, particularly names of people and places

    oai_token-act-pair · gpt-3.5-turbo

    instances of the verb "to be" in various forms

    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
    export
    -0.72
    inventoryQuantity
    -0.71
    lag
    -0.67
    Vers
    -0.66
    crime
    -0.65
    snap
    -0.65
    sequ
    -0.65
    iken
    -0.64
    improve
    -0.64
    where
    -0.64
    POSITIVE LOGITS
     inexperienced
    0.88
     Giovanni
    0.87
     unaware
    0.87
     Caucasian
    0.80
     identified
    0.79
     deceased
    0.78
     Mohamed
    0.78
     Constantin
    0.78
     Yose
    0.77
     Deborah
    0.76
    Activations Density 0.439%

    No Known Activations