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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. 21761
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    Explanations

    phrases expressing a sense of definition or categorization

    oai_token-act-pair · gpt-3.5-turbo

    phrases that describe definitions or categorizations based on a specific criteria

    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
    raq
    -0.75
     countered
    -0.64
    GV
    -0.64
    ettes
    -0.64
    hai
    -0.64
     destined
    -0.63
    ili
    -0.62
    itto
    -0.61
     largeDownload
    -0.61
    oca
    -0.60
    POSITIVE LOGITS
     virtue
    1.02
    products
    0.87
    laws
    0.84
     statute
    0.80
     partisans
    0.70
     default
    0.70
     geography
    0.69
     sheer
    0.68
     affinity
    0.66
     karma
    0.64
    Activations Density 0.108%

    No Known Activations