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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. 3628
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    Explanations

    proper names, particularly names of political figures

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals and political leaders

    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
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    No Comments

    Negative Logits
    BLIC
    -0.78
    PORT
    -0.75
    ãĤ¤ãĥĪ
    -0.72
    Pod
    -0.67
    Ø©
    -0.62
     EPS
    -0.62
    REDACTED
    -0.62
    ãĥĥãĥī
    -0.60
    اÙĦ
    -0.60
     FIRE
    -0.59
    POSITIVE LOGITS
    uan
    0.85
    ulu
    0.83
    amiya
    0.81
    song
    0.80
    sung
    0.75
    wei
    0.73
    young
    0.73
    moon
    0.70
    Hong
    0.69
    anmar
    0.69
    Activations Density 0.135%

    No Known Activations