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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. 3-RES-JB
    11. 3251
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    Explanations

    highly specific proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    specific names or terms related to geography or regions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Ivy
    -0.69
     Hollywood
    -0.68
     stereotypical
    -0.63
     Mandela
    -0.61
     Cena
    -0.61
    verson
    -0.60
     Cortana
    -0.59
     Crusade
    -0.59
     Telescope
    -0.59
    andering
    -0.58
    POSITIVE LOGITS
    istani
    1.06
    ı
    1.02
    ÄŁ
    1.00
    lu
    0.97
    lish
    0.94
    uz
    0.92
    ãĥĥãĤ¯
    0.90
    endar
    0.85
    oÄŁan
    0.84
    ugal
    0.83
    Activations Density 0.010%

    No Known Activations