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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. 7-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 @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    HAEL
    -0.86
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     Hayden
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    NEY
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     Kham
    -0.69
    çĶ°
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    ICLE
    -0.69
    igel
    -0.68
    POSITIVE LOGITS
     caching
    1.14
     initialization
    1.06
     dependencies
    1.04
     authentication
    1.02
     optimization
    0.99
     debugging
    0.99
     integers
    0.99
     integer
    0.97
     filtering
    0.95
     sandbox
    0.95
    Activations Density 0.368%

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