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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 16828
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    INDEX
    Explanations

    addresses or locations described with block numbers

    oai_token-act-pair · gpt-3.5-turbo

    references to specific locations or blocks in a city

    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
    Not in Any Lists

    No Comments

    Negative Logits
    emia
    -0.66
    eer
    -0.61
     diction
    -0.60
     programmes
    -0.60
    Versions
    -0.59
     submar
    -0.58
     Countries
    -0.58
     coward
    -0.58
     fatigue
    -0.58
     bureaucr
    -0.57
    POSITIVE LOGITS
     radius
    0.90
    tyard
    0.90
     southwest
    0.88
     northwest
    0.85
    heast
    0.83
     east
    0.79
    yards
    0.77
     bounded
    0.76
     northeast
    0.75
    north
    0.75
    Activations Density 0.032%

    No Known Activations