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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. 16311
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    Explanations

    political or legislative actions described as measures

    oai_token-act-pair · gpt-3.5-turbo

    references to regulatory actions or legislation

    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
    yles
    -0.80
     Forsaken
    -0.76
    sites
    -0.73
    Orig
    -0.72
     Reserve
    -0.70
    olla
    -0.67
    vae
    -0.65
     Origins
    -0.65
    ciating
    -0.63
    \\\\\\\\
    -0.62
    POSITIVE LOGITS
    MENTS
    0.85
    witz
    0.83
    arian
    0.79
    ment
    0.78
    ters
    0.75
    arians
    0.75
    hof
    0.73
    urgical
    0.71
    ary
    0.71
     measures
    0.70
    Activations Density 0.024%

    No Known Activations