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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. 3-RES-JB
    11. 8285
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    Explanations

    references to legal documents or articles

    oai_token-act-pair · gpt-3.5-turbo

    references to legal articles or provisions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aukee
    -0.84
    00200000
    -0.77
    nesota
    -0.76
     destro
    -0.75
    none
    -0.74
    cffffcc
    -0.71
    cffff
    -0.71
    ourced
    -0.71
    eware
    -0.69
    ourcing
    -0.69
    POSITIVE LOGITS
    meal
    0.92
     Article
    0.92
     Articles
    0.89
    witz
    0.79
    ICLE
    0.72
    ablishment
    0.69
    aration
    0.67
    hook
    0.66
     Meaning
    0.64
     Lug
    0.63
    Activations Density 0.010%

    No Known Activations