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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. 0-RES-JB
    11. 438
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    Explanations

    dollar amounts written in a specific format - for example, with commas separating thousands and ending with "000" or "MM"

    oai_token-act-pair · gpt-3.5-turbo

    numeric values associated with large quantities or populations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Jared
    -0.65
    SPONSORED
    -0.64
    locks
    -0.63
     pains
    -0.62
    etime
    -0.61
    authent
    -0.60
     Hamilton
    -0.60
    attled
    -0.60
    essim
    -0.60
    idelity
    -0.57
    POSITIVE LOGITS
     000
    3.39
     0004
    1.45
    ply
    1.14
    ère
    0.97
    uable
    0.97
     0000
    0.90
     FIR
    0.85
     ç¥ŀ
    0.84
     ®
    0.83
     EUR
    0.80
    Activations Density 0.016%

    No Known Activations