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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 17559
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    Explanations

    mentions of "Mueller" in a text

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Robert Mueller

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    piring
    -0.77
     Pyr
    -0.77
    lihood
    -0.76
     Hawaiian
    -0.76
    ential
    -0.72
     Samurai
    -0.70
     Zoro
    -0.69
     Filipino
    -0.68
    itarian
    -0.67
    points
    -0.67
    POSITIVE LOGITS
     Mueller
    1.22
    ueller
    1.00
     indict
    0.78
     dossier
    0.77
     investigating
    0.77
    andowski
    0.76
    owitz
    0.76
    enthal
    0.75
    schild
    0.75
     bund
    0.74
    Activations Density 0.011%

    No Known Activations