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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 128
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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
    Not in Any Lists

    No Comments

    Negative Logits
    20439
    -0.81
    uckle
    -0.77
    GO
    -0.68
     regret
    -0.67
     Foss
    -0.61
    det
    -0.61
     regrets
    -0.61
    gs
    -0.61
    ivas
    -0.60
    turn
    -0.59
    POSITIVE LOGITS
    vertising
    1.29
     Advertisement
    0.93
     advertisement
    0.82
    arten
    0.82
    vantage
    0.81
    eering
    0.81
    agascar
    0.80
    ONSORED
    0.80
    culosis
    0.79
     tradem
    0.78
    Activations Density 0.004%

    No Known Activations