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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. 11-RES-JB
    11. 11317
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    Explanations

    phrases related to problem-solving or figuring something out

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to problem-solving and understanding

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     accompanied
    -0.62
    udos
    -0.60
    VIDEO
    -0.59
    ebook
    -0.58
    PHOTOS
    -0.57
    interrupted
    -0.57
    ibaba
    -0.57
    ãĥĨãĤ£
    -0.56
    vis
    -0.55
    ending
    -0.54
    POSITIVE LOGITS
     out
    1.23
     OUT
    0.88
     prominently
    0.86
     skating
    0.84
    out
    0.78
    Out
    0.78
     things
    0.77
     Out
    0.76
     ways
    0.74
     something
    0.71
    Activations Density 0.061%

    No Known Activations