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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. 8-RES-JB
    11. 12918
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    INDEX
    Explanations

    phrases related to requests or urging action

    oai_token-act-pair · gpt-3.5-turbo

    expressions of needs and desires

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    su
    -0.81
    Previously
    -0.69
    Dam
    -0.69
    wan
    -0.66
    Su
    -0.66
    bush
    -0.66
    Below
    -0.66
    Related
    -0.65
    script
    -0.65
    agu
    -0.63
    POSITIVE LOGITS
     decency
    0.76
     tsun
    0.72
     nurses
    0.64
     everybody
    0.62
     clot
    0.62
    ¬¼
    0.61
     husbands
    0.61
    whatever
    0.61
     mothers
    0.60
    00200000
    0.60
    Activations Density 0.353%

    No Known Activations