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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. 15552
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to organizations or centers involved in various studies and research

    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
     evacuation
    -0.72
     succession
    -0.60
     resume
    -0.60
    ItemImage
    -0.59
     karma
    -0.58
    ĻĤ
    -0.57
    YC
    -0.57
     +++
    -0.57
     checkout
    -0.57
    verts
    -0.56
    POSITIVE LOGITS
     Against
    0.90
     Provision
    0.88
     Policy
    0.76
     Poverty
    0.76
    idon
    0.75
     Accountability
    0.74
    ozo
    0.72
     Of
    0.72
     Supported
    0.72
     Paper
    0.72
    Activations Density 0.073%

    No Known Activations