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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. 3-RES-JB
    11. 20080
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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 @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    imar
    -0.81
    rers
    -0.76
    istic
    -0.72
     everlasting
    -0.71
     Colony
    -0.69
    rer
    -0.69
     toes
    -0.67
     Chan
    -0.66
    orius
    -0.65
     Hammer
    -0.65
    POSITIVE LOGITS
    é¾
    0.93
    enegger
    0.93
    è¦ļéĨĴ
    0.90
     sidx
    0.83
    INESS
    0.81
    ãĥ¢
    0.78
    dayName
    0.77
    inately
    0.76
    sys
    0.76
    aceutical
    0.75
    Activations Density 0.022%

    No Known Activations