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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. 4-RES-JB
    11. 18448
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    Explanations

    settings or options within a software or technological context

    oai_token-act-pair · gpt-3.5-turbo

    references to different modes or settings

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

    No Comments

    Negative Logits
    owan
    -0.78
     Aires
    -0.77
    enda
    -0.71
    roma
    -0.70
    mony
    -0.70
    bones
    -0.68
    enegger
    -0.67
    alan
    -0.66
    ammad
    -0.66
    areth
    -0.64
    POSITIVE LOGITS
     Shift
    0.76
     mode
    0.74
     Mode
    0.70
    etting
    0.69
     upgr
    0.68
     Mayhem
    0.67
    quit
    0.66
     enabled
    0.65
     selector
    0.64
     modes
    0.64
    Activations Density 0.021%

    No Known Activations