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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. 5829
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    Explanations

    phrases related to gaining knowledge or information

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "learned" in various contexts

    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
    ciating
    -0.69
     oun
    -0.66
    cul
    -0.66
    pex
    -0.59
    ciation
    -0.57
     eg
    -0.57
    è¦
    -0.57
    Released
    -0.56
    etric
    -0.56
    efined
    -0.56
    POSITIVE LOGITS
     about
    1.07
     of
    0.93
     firsthand
    0.88
     that
    0.83
     ABOUT
    0.74
    about
    0.73
     OF
    0.71
     About
    0.69
    About
    0.68
     anecd
    0.67
    Activations Density 0.102%

    No Known Activations