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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 0-RES-JB
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    Explanations

    the word "helping" followed by different contexts or objects being assisted

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "helping" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    imar
    -0.63
     Abstract
    -0.62
    umbered
    -0.62
    gow
    -0.61
     Catalog
    -0.60
    ynes
    -0.59
     Reserved
    -0.58
    ls
    -0.58
    });
    -0.57
    abus
    -0.57
    POSITIVE LOGITS
     helping
    3.27
     assisting
    2.25
     aiding
    2.06
     facilitating
    1.70
     providing
    1.60
     rescuing
    1.55
     fostering
    1.54
     boosting
    1.46
     serving
    1.46
     volunteering
    1.45
    Activations Density 0.020%

    No Known Activations