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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. 2-RES-JB
    11. 6789
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    terms related to optimization and technology

    oai_token-act-pair · gpt-3.5-turbo

    terms related to optical technologies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Laur
    -0.72
     Kah
    -0.64
    Series
    -0.63
    ̶
    -0.63
    gb
    -0.62
    WHERE
    -0.62
    llah
    -0.61
     Oo
    -0.61
     Sul
    -0.60
     nerv
    -0.58
    POSITIVE LOGITS
    imum
    1.13
    opt
    1.06
    imal
    0.95
     opt
    0.86
    isphere
    0.85
    imus
    0.84
    anical
    0.82
    aroo
    0.81
    icism
    0.80
    lass
    0.80
    Activations Density 0.004%

    No Known Activations