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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. 2-RES-JB
    11. 23549
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    Explanations

    people's names and proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    names or titles related to individuals and their actions or statuses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Pilgrim
    -1.03
    wrapper
    -0.70
     Devils
    -0.69
    uman
    -0.68
     Sandwich
    -0.68
    ucer
    -0.68
    ipop
    -0.67
    Wallet
    -0.67
    mouth
    -0.67
     sleeves
    -0.65
    POSITIVE LOGITS
    rien
    0.91
    rian
    0.86
    rians
    0.82
    Ô
    0.81
    rative
    0.79
    ophe
    0.79
    ÑĢ
    0.78
    ============
    0.77
     Cyr
    0.76
    tes
    0.76
    Activations Density 0.018%

    No Known Activations