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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. 9-RES-JB
    11. 17825
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    Explanations

    proper nouns and capitalized words

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, especially names and specific terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    isSpecialOrderable
    -0.88
    ipeg
    -0.88
    draft
    -0.76
    sheet
    -0.76
    competitive
    -0.76
    ĸļ
    -0.73
    behind
    -0.71
    recent
    -0.71
    EStream
    -0.71
    âĸĪâĸĪâĸĪâĸĪâĸĪâĸĪâĸĪâĸĪ
    -0.68
    POSITIVE LOGITS
     Parish
    1.06
    phia
    1.03
    aceae
    1.02
    aurus
    0.96
    opsis
    0.96
     Springs
    0.93
    idae
    0.90
    tein
    0.89
    ®
    0.89
     Pharmaceutical
    0.89
    Activations Density 0.462%

    No Known Activations