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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. 3-RES-JB
    6. 13895
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    fundraising terms and organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     carbohyd
    -0.52
     diam
    -0.51
     hem
    -0.50
     captcha
    -0.48
    etheless
    -0.44
    NetMessage
    -0.44
     gobl
    -0.42
     rat
    -0.42
     biom
    -0.42
     commercially
    -0.41
    POSITIVE LOGITS
     Activities
    0.50
     Bros
    0.49
     Therapy
    0.49
     Brothers
    0.48
     Awakens
    0.48
    haus
    0.46
     Island
    0.45
    Hero
    0.45
     Collection
    0.45
    Focus
    0.45
    Activations Density 1.079%

    No Known Activations