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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. 24151
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    Explanations

    verbs related to legal or formal actions like legislating or commemorating

    oai_token-act-pair · gpt-3.5-turbo

    terms related to legislation and commemoration

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    pell
    -0.70
    dress
    -0.68
     Heller
    -0.65
     thinly
    -0.63
    waves
    -0.62
     Doctrine
    -0.60
     belt
    -0.60
     Cth
    -0.60
    hra
    -0.59
     MIL
    -0.59
    POSITIVE LOGITS
    ators
    2.03
    ating
    1.98
    ations
    1.84
    ated
    1.80
    atively
    1.79
    ative
    1.78
    ator
    1.76
    ational
    1.74
    atives
    1.68
    ates
    1.60
    Activations Density 0.095%

    No Known Activations