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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. 5139
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    Explanations

    words related to official decisions or actions, especially in a political context

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "resolution" in various contexts related to decision-making or legislative actions

    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
    Not in Any Lists

    No Comments

    Negative Logits
    pocket
    -0.75
    inen
    -0.66
    rium
    -0.65
    iott
    -0.65
    OTAL
    -0.63
    endon
    -0.63
    axter
    -0.63
    elong
    -0.62
    cffff
    -0.61
    nostic
    -0.60
    POSITIVE LOGITS
     authorizing
    1.05
     resolutions
    0.90
     resolution
    0.87
     Resolution
    0.86
    mary
    0.81
    witz
    0.80
     condemning
    0.79
     authorize
    0.71
     unanimously
    0.70
     prohibiting
    0.70
    Activations Density 0.021%

    No Known Activations