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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. 5365
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    Explanations

    pronouns followed by past tense verbs

    oai_token-act-pair · gpt-3.5-turbo

    pronouns and associated third-person references in sentences

    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
    hement
    -0.64
    aware
    -0.63
     Warehouse
    -0.62
    ivot
    -0.61
    geoning
    -0.60
    othy
    -0.60
    Db
    -0.59
     WP
    -0.57
    catentry
    -0.56
    Hung
    -0.56
    POSITIVE LOGITS
     bluff
    0.68
    ãĢİ
    0.67
    =\"
    0.63
     STORY
    0.62
    ITIES
    0.62
    acci
    0.61
     stories
    0.61
    ="#
    0.61
     goodbye
    0.61
     "#
    0.61
    Activations Density 0.187%

    No Known Activations