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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
    11. 12583
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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
    wagen
    -0.73
     advis
    -0.70
     manif
    -0.69
     challeng
    -0.68
     behavi
    -0.68
     withd
    -0.66
     outsider
    -0.66
     pse
    -0.65
     grounding
    -0.62
     defe
    -0.62
    POSITIVE LOGITS
     Retrieved
    0.75
    jpg
    0.72
    mosp
    0.72
    htm
    0.70
     Includes
    0.68
     Expand
    0.67
     SHARES
    0.67
     Reload
    0.67
     ILCS
    0.65
     Entered
    0.65
    Activations Density 0.096%

    No Known Activations