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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. 1296
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    Explanations

    mentions of violent actions or conflicts

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "attack" followed by numerical references

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ACTED
    -0.81
    ports
    -0.80
    âķIJ
    -0.77
    SourceFile
    -0.75
    OVER
    -0.72
    apter
    -0.72
    soDeliveryDate
    -0.71
    OGR
    -0.71
    Apps
    -0.71
    rers
    -0.70
    POSITIVE LOGITS
     behalf
    1.26
    erous
    0.91
    etime
    0.91
    shore
    0.85
     spree
    0.81
    slaught
    0.79
     weekends
    0.78
    eness
    0.77
     impulse
    0.77
    coming
    0.77
    Activations Density 0.129%

    No Known Activations