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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. 10-RES-JB
    11. 12077
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    INDEX
    Explanations

    mentions of specific smartphone models

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Ô
    -0.97
    mingham
    -0.85
    abet
    -0.83
    pmwiki
    -0.83
    ersen
    -0.78
    displayText
    -0.78
    ersive
    -0.76
    ibli
    -0.75
    ERAL
    -0.73
    iculty
    -0.73
    POSITIVE LOGITS
     XL
    0.99
     handset
    0.98
     520
    0.97
     smartphone
    0.94
     Mini
    0.93
     smartphones
    0.92
     tablet
    0.92
     X
    0.91
     Tablet
    0.91
     Nano
    0.91
    Activations Density 0.102%

    No Known Activations