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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 1817
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    Explanations

    political and military-related terms and activities

    oai_token-act-pair · gpt-3.5-turbo

    terms related to political dynamics and electoral processes

    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
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    Negative Logits
     concess
    -0.60
     mathemat
    -0.56
     informational
    -0.47
     unrem
    -0.47
    intend
    -0.46
    osite
    -0.46
     arra
    -0.45
     Rapt
    -0.45
    anyahu
    -0.45
    ikuman
    -0.44
    POSITIVE LOGITS
    ↵Âł
    1.26
    ↵
    1.16
    <|endoftext|>
    1.04
    "}
    1.04
    ↵↵
    1.04
     */
    1.04
     Replay
    1.03
     pic
    0.96
     Posted
    0.96
     ;)
    0.95
    Activations Density 1.657%

    No Known Activations