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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. 10-RES-JB
    11. 6109
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    Explanations

    references to articles or written pieces

    oai_token-act-pair · gpt-3.5-turbo

    references to "articles" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cffff
    -0.82
    NetMessage
    -0.76
     Nadu
    -0.70
    pter
    -0.69
    ²¾
    -0.69
    cffffcc
    -0.68
    wcs
    -0.66
    elsius
    -0.65
    effic
    -0.64
    Ĥª
    -0.64
    POSITIVE LOGITS
    meal
    1.03
     published
    0.98
     titled
    0.93
     reprinted
    0.90
     detailing
    0.86
    orial
    0.82
     describing
    0.78
     entitled
    0.78
     authored
    0.76
     penned
    0.76
    Activations Density 0.038%

    No Known Activations