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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. 9493
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    Explanations

    names of locations or organizations

    oai_token-act-pair · gpt-3.5-turbo

    specific proper nouns and names within the text

    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
     âĢº
    -0.62
     ASP
    -0.58
     WCS
    -0.56
    -0.54
     âĹ
    -0.52
     scram
    -0.52
    NetMessage
    -0.52
     SH
    -0.52
     MAT
    -0.51
     seism
    -0.51
    POSITIVE LOGITS
    folios
    0.72
    ë
    0.69
    prototype
    0.67
    unia
    0.67
    bourg
    0.66
    adies
    0.66
    ese
    0.66
    illus
    0.65
    ÃŃn
    0.65
    ruary
    0.64
    Activations Density 0.481%

    No Known Activations