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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    the name "Omar" followed by a person's name or verb

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific individuals named Omar

    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
    é¾įå¥ij士
    -0.78
    UV
    -0.71
    Ö¼
    -0.71
    BOOK
    -0.70
    place
    -0.69
    nces
    -0.66
    REE
    -0.66
    代
    -0.65
     Dinosaur
    -0.65
     NFC
    -0.65
    POSITIVE LOGITS
     Sharif
    0.96
    zai
    0.95
    quet
    0.87
    osa
    0.86
    ovic
    0.84
     Abdel
    0.83
     Omar
    0.80
    anth
    0.80
    ban
    0.78
    ovich
    0.76
    Activations Density 0.003%

    No Known Activations