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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. 23214
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    INDEX
    Explanations

    references related to mass incidents or actions

    oai_token-act-pair · gpt-3.5-turbo

    words associated with large quantities or groups

    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
    BILITIES
    -0.75
     Arrows
    -0.69
     Elements
    -0.66
    1016
    -0.65
    GES
    -0.63
    sbm
    -0.61
    nos
    -0.60
     Quartz
    -0.59
    tical
    -0.59
    alties
    -0.59
    POSITIVE LOGITS
    achusetts
    1.14
     mass
    0.88
     tremend
    0.79
    ographically
    0.78
    mass
    0.74
    achus
    0.74
     incarceration
    0.73
    otine
    0.73
    itionally
    0.71
    Mass
    0.71
    Activations Density 0.011%

    No Known Activations