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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 22709
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    Explanations

    names of people

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly the names of people and places

    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
    !'
    -0.69
    .ãĢį
    -0.66
    !.
    -0.65
    .--
    -0.62
    rawdownloadcloneembedreportprint
    -0.61
    !'"
    -0.61
    +.
    -0.60
     Written
    -0.58
    .?
    -0.56
    </
    -0.56
    POSITIVE LOGITS
     should
    1.33
     shouldn
    1.33
     lacked
    1.24
     could
    1.15
     deserved
    1.14
     hadn
    1.13
     had
    1.11
     would
    1.08
     ought
    1.06
     wouldn
    1.04
    Activations Density 0.524%

    No Known Activations