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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. 16796
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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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    No Comments

    Negative Logits
     reckoning
    -0.77
     renown
    -0.71
     interchange
    -0.67
    yip
    -0.64
     lapse
    -0.64
     looms
    -0.63
     favorites
    -0.61
     trump
    -0.61
     ribbon
    -0.60
     recommendation
    -0.60
    POSITIVE LOGITS
    ption
    0.95
    enment
    0.92
    ient
    0.92
    ptions
    0.92
    abil
    0.90
    mental
    0.90
    ishable
    0.89
    Ī
    0.89
    brance
    0.87
    Ģ
    0.87
    Activations Density 0.300%

    No Known Activations