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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. 8-RES-JB
    11. 11825
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a desire for additional information or learning opportunities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ufact
    -0.87
    xtap
    -0.82
    uble
    -0.71
    adr
    -0.70
    pload
    -0.70
    ãĥ¼ãĥĨãĤ£
    -0.69
    ader
    -0.67
    IPS
    -0.65
     cradle
    -0.65
     2024
    -0.64
    POSITIVE LOGITS
     details
    1.06
     than
    1.04
     info
    0.96
     specifics
    0.90
    natureconservancy
    0.86
     about
    0.83
     detail
    0.83
     information
    0.82
     Details
    0.80
     extensively
    0.77
    Activations Density 0.052%

    No Known Activations