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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. 4-RES-JB
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    INDEX
    Explanations

    the concepts or ideas behind certain actions or beliefs

    oai_token-act-pair · gpt-3.5-turbo

    phrases that explain underlying concepts or reasons

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

    No Comments

    Negative Logits
    ander
    -0.76
    cki
    -0.76
    quet
    -0.71
     Pwr
    -0.69
    jab
    -0.64
    20439
    -0.62
    issan
    -0.62
    cko
    -0.62
     Flo
    -0.60
     ILCS
    -0.60
    POSITIVE LOGITS
    tions
    0.74
     why
    0.74
     WHY
    0.73
     behind
    0.72
    paren
    0.71
    âĸ¬âĸ¬
    0.70
    spective
    0.69
    ¬
    0.68
    rave
    0.68
    closed
    0.67
    Activations Density 0.017%

    No Known Activations