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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 4-RES-JB
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    references to the AK-47 assault rifle

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the AK-47 firearm

    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
    ãĤ£
    -0.87
    dfx
    -0.77
    aces
    -0.75
     istg
    -0.73
    advertisement
    -0.71
    bourg
    -0.70
    ãĤ§
    -0.70
    issance
    -0.69
     Vaugh
    -0.68
    etsk
    -0.68
    POSITIVE LOGITS
    AZ
    0.82
    AK
    0.80
    ansas
    0.77
    unta
    0.76
     AK
    0.75
    atana
    0.72
    istani
    0.72
    VID
    0.70
    MU
    0.68
    IAS
    0.67
    Activations Density 0.008%

    No Known Activations