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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. 22760
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    Explanations

    expletives and related phrases

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the concept of "droplets" or "plets."

    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
    CV
    -0.66
     coron
    -0.65
     experts
    -0.61
     prevailing
    -0.59
     regulators
    -0.59
     lax
    -0.59
    Origin
    -0.58
     judges
    -0.58
    orthy
    -0.58
    sem
    -0.57
    POSITIVE LOGITS
    plet
    1.14
    ãĥ³ãĤ¸
    0.90
    terness
    0.83
    insula
    0.83
    uations
    0.81
    ÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤ
    0.81
    etooth
    0.80
    ypes
    0.80
    ãĤ¤ãĥĪ
    0.79
    ]=
    0.77
    Activations Density 0.014%

    No Known Activations