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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. 7-RES-JB
    11. 19529
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    Explanations

    proper nouns, particularly names or titles related to the medical field

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "Dr" and its associations in the context of medical or professional titles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     sugg
    -0.71
    fml
    -0.71
    rontal
    -0.65
    =]
    -0.62
    boxing
    -0.60
    nexus
    -0.59
     ribbon
    -0.58
     gearing
    -0.58
    intendent
    -0.58
    ailability
    -0.58
    POSITIVE LOGITS
     Canaver
    0.78
    ucker
    0.74
    etus
    0.73
    DATA
    0.72
    ospital
    0.71
    phia
    0.71
    ordan
    0.69
    Bir
    0.66
     Peck
    0.65
     Puppet
    0.64
    Activations Density 0.102%

    No Known Activations