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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. 12025
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    Explanations

    expressions related to hard work and effort

    oai_token-act-pair · gpt-3.5-turbo

    expressions of hard work and effort

    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
    notations
    -0.75
    ocument
    -0.69
     Topic
    -0.69
    ãĥĺãĥ©
    -0.69
    ategor
    -0.68
    onym
    -0.67
    irens
    -0.65
    mbuds
    -0.65
    identified
    -0.64
     privacy
    -0.63
    POSITIVE LOGITS
     persever
    1.17
     futile
    1.08
     tries
    1.06
     vain
    1.06
     Trying
    1.02
     valiant
    1.00
     try
    1.00
     effort
    0.99
     patience
    0.99
     stubborn
    0.98
    Activations Density 0.473%

    No Known Activations