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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. 9-RES-JB
    11. 17347
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Franch
    -0.83
    theless
    -0.66
     Bonnie
    -0.62
     admission
    -0.61
     Bun
    -0.61
     seating
    -0.60
     poses
    -0.59
     panels
    -0.58
     opportunity
    -0.58
     numbered
    -0.58
    POSITIVE LOGITS
    ¿
    1.83
    ²
    1.71
    ³
    1.70
    ¸
    1.69
    ¾
    1.68
    º
    1.66
    ±
    1.62
    ½
    1.61
    ´
    1.60
    ¼
    1.59
    Activations Density 0.025%

    No Known Activations