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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. 2-RES-JB
    11. 16019
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    Explanations

    specifically, words related to the concept of refinement or improving something to a higher standard

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "refine" and its related forms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Cthulhu
    -0.72
    gap
    -0.72
     Emanuel
    -0.72
    MN
    -0.70
     ESA
    -0.68
    WM
    -0.67
     Apostle
    -0.66
    shr
    -0.66
    lihood
    -0.65
    LAN
    -0.63
    POSITIVE LOGITS
     refining
    1.21
     refined
    1.16
     refinement
    1.03
     refine
    1.02
    ineries
    0.98
    uesday
    0.91
    ModLoader
    0.81
    clair
    0.77
     tremend
    0.76
    issance
    0.76
    Activations Density 0.013%

    No Known Activations