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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. 4-RES-JB
    11. 6074
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    Explanations

    proper nouns, specifically names of individuals and locations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific characters and notable individuals in narratives

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

    No Comments

    Negative Logits
    aband
    -0.67
    ONS
    -0.66
    upon
    -0.65
    oday
    -0.64
    onal
    -0.64
    aceutical
    -0.64
    alam
    -0.63
    eal
    -0.63
    amina
    -0.63
    ************
    -0.63
    POSITIVE LOGITS
     Elsa
    0.94
    Elsa
    0.90
    issance
    0.86
    ipeg
    0.80
    éĹĺ
    0.78
    theless
    0.73
    ette
    0.72
     Andersen
    0.69
    sson
    0.69
    swer
    0.67
    Activations Density 0.011%

    No Known Activations