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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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    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 @ 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
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    Negative Logits
     detached
    -0.70
    ammed
    -0.67
     fragmentation
    -0.67
     semblance
    -0.66
     kindergarten
    -0.66
     association
    -0.66
     Ukrain
    -0.65
    creen
    -0.65
    wagen
    -0.65
     guiActiveUnfocused
    -0.65
    POSITIVE LOGITS
    ł
    1.07
    ij
    0.97
    âĸº
    0.94
    ¹
    0.92
    IJ
    0.91
    ª
    0.89
    ı
    0.87
    £
    0.85
    Ĵ
    0.83
    hetic
    0.83
    Activations Density 0.227%

    No Known Activations