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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. 3-RES-JB
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    Explanations

    names of people related to the entertainment industry

    oai_token-act-pair · gpt-3.5-turbo

    names of specific individuals, particularly in the entertainment industry

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    govtrack
    -0.81
    RNA
    -0.80
    choes
    -0.75
    atches
    -0.69
    atana
    -0.69
    RN
    -0.69
    ĨĴ
    -0.69
    quartered
    -0.67
    acht
    -0.67
    undo
    -0.67
    POSITIVE LOGITS
    ious
    0.97
    iae
    0.88
    icity
    0.77
    ricular
    0.76
    ians
    0.75
    iar
    0.75
    ian
    0.74
     Damon
    0.74
    ino
    0.74
    ards
    0.72
    Activations Density 0.016%

    No Known Activations