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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. 18665
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    Explanations

    proper nouns related to people or companies

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals named Bill

    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
    ngth
    -1.03
    ï¸ı
    -1.01
    tur
    -0.74
    owship
    -0.73
    rencies
    -0.69
    BIL
    -0.69
    usercontent
    -0.68
    drm
    -0.67
    styles
    -0.67
    andowski
    -0.66
    POSITIVE LOGITS
    clinton
    0.64
    anders
    0.62
     ancestor
    0.60
    ãģ¦
    0.59
    hester
    0.59
    erson
    0.58
     adjourn
    0.58
    ingham
    0.57
     Blasio
    0.57
    ichick
    0.57
    Activations Density 0.080%

    No Known Activations