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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. 3115
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    Explanations

    phrases related to fundamental principles or concepts

    oai_token-act-pair · gpt-3.5-turbo

    references to foundational concepts in various contexts

    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
    hran
    -0.76
    ials
    -0.72
    auts
    -0.71
    ograms
    -0.70
    iod
    -0.69
    verb
    -0.68
    strip
    -0.68
    balls
    -0.66
    oult
    -0.65
    umbers
    -0.64
    POSITIVE LOGITS
     contention
    0.89
     modern
    0.88
     liberalism
    0.86
     neoliberal
    0.78
     capitalism
    0.78
     fascism
    0.78
     feminism
    0.76
     wedge
    0.75
     contemporary
    0.75
     Capitalism
    0.74
    Activations Density 0.232%

    No Known Activations