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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. 1-RES-JB
    11. 2280
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    Explanations

    mentions of Blu-ray technology

    oai_token-act-pair · gpt-3.5-turbo

    references to Blu-ray discs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ERAL
    -0.78
    ISTORY
    -0.76
    DAY
    -0.73
    ammad
    -0.71
     Occupations
    -0.71
    ILY
    -0.70
    OLOGY
    -0.70
    hips
    -0.68
    RANT
    -0.66
    Ö¼
    -0.66
    POSITIVE LOGITS
    etooth
    1.36
    ewater
    0.99
     Blu
    0.99
    omore
    0.92
    Blu
    0.78
    issance
    0.78
    eness
    0.77
    este
    0.77
     ray
    0.77
    forestation
    0.75
    Activations Density 0.004%

    No Known Activations