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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. 7-RES-JB
    11. 11831
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    Explanations

    phrases related to crime and investigation

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to significant health-related issues and their consequences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Provincial
    -0.60
    ishops
    -0.59
     Latest
    -0.59
    bnb
    -0.57
    ggles
    -0.57
    ortium
    -0.56
    erenn
    -0.55
    <|endoftext|>
    -0.54
    iple
    -0.53
     NX
    -0.53
    POSITIVE LOGITS
     undet
    0.64
     vagina
    0.62
     sexually
    0.61
     plutonium
    0.60
     consensual
    0.58
     genitals
    0.57
     heterosexual
    0.57
     clitor
    0.57
     abortion
    0.56
     incrim
    0.55
    Activations Density 1.991%

    No Known Activations