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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. 8-RES-JB
    11. 24436
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    Explanations

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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 @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     toget
    -0.76
     appropri
    -0.75
    tti
    -0.73
     prest
    -0.72
    hospital
    -0.72
     subdu
    -0.65
     composition
    -0.63
     quarters
    -0.62
    icho
    -0.62
     anew
    -0.61
    POSITIVE LOGITS
    able
    1.28
    ables
    1.20
    ABLE
    1.01
    ability
    1.00
    ance
    0.98
    ances
    0.96
    ers
    0.91
    ership
    0.88
    zee
    0.87
    ment
    0.87
    Activations Density 0.042%

    No Known Activations