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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
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    Explanations

    references to users in a technical context, specifically related to user authentication, settings, and actions within a system

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "user" and variations related to it

    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
    hovah
    -0.76
    SourceFile
    -0.76
     Hurricanes
    -0.69
     Sacrament
    -0.68
     Baptist
    -0.68
    tackle
    -0.67
     Monstrous
    -0.67
    erella
    -0.66
    amer
    -0.65
     unfocusedRange
    -0.65
    POSITIVE LOGITS
     interface
    0.95
     interfaces
    0.92
    interface
    0.89
    atical
    0.83
    GUI
    0.74
    base
    0.73
    atically
    0.73
     interaction
    0.71
     upgr
    0.71
    ples
    0.71
    Activations Density 0.018%

    No Known Activations