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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
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    oai_token-act-pair · gpt-3.5-turbo

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    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
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    Negative Logits
    è¦ļéĨĴ
    -0.69
    ç
    -0.64
    fixes
    -0.64
     volunt
    -0.64
    accompan
    -0.62
    rises
    -0.61
    idays
    -0.61
    ones
    -0.61
    changes
    -0.60
    ón
    -0.60
    POSITIVE LOGITS
    qus
    0.77
    olkien
    0.76
    #$
    0.74
     Lumpur
    0.70
    /?
    0.70
    tml
    0.65
    erb
    0.64
    arcity
    0.64
     WRITE
    0.60
    cgi
    0.60
    Activations Density 0.161%

    No Known Activations