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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 21233
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    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "OL" within various contexts or settings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    flies
    -0.93
    ãĥ¼ãĥĨ
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    fly
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    ãĥ¼ãĥĨãĤ£
    -0.77
    ãĥ¥
    -0.71
    cia
    -0.66
    rament
    -0.65
     quo
    -0.64
     germ
    -0.64
    ãĥ£
    -0.63
    POSITIVE LOGITS
    TON
    0.99
    IX
    0.99
    ibrary
    0.98
    BY
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    UTION
    0.96
    ION
    0.93
    ONG
    0.92
    ARS
    0.92
    VIDIA
    0.90
    IFE
    0.87
    Activations Density 0.029%

    No Known Activations