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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. 6-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 @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ĸļ
    -0.80
     Leilan
    -0.77
     ($)
    -0.70
     Yen
    -0.68
     benefic
    -0.67
     orn
    -0.65
     lav
    -0.64
     Unicorn
    -0.63
     å¤
    -0.63
     Cth
    -0.62
    POSITIVE LOGITS
    sic
    1.59
    laughs
    1.25
    emphasis
    1.04
    âĢ¦)
    1.00
    Laughs
    0.97
    âĢ¦]
    0.94
    ?]
    0.94
    Wednesday
    0.92
    Sunday
    0.88
    during
    0.87
    Activations Density 0.049%

    No Known Activations