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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. 0-RES-JB
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    terms related to cybersecurity and hacking activities

    oai_token-act-pair · gpt-3.5-turbo

    terms related to hacking activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     medium
    -0.68
     spirits
    -0.65
     ser
    -0.64
    Show
    -0.62
     plural
    -0.62
     jur
    -0.61
     sens
    -0.60
     dign
    -0.60
     Han
    -0.59
     pall
    -0.59
    POSITIVE LOGITS
    acking
    4.11
    acked
    2.99
    acks
    2.71
    acker
    2.37
    ackers
    2.17
    ACK
    1.97
    ack
    1.85
    ackle
    1.19
    agging
    1.17
    ocking
    1.17
    Activations Density 0.017%

    No Known Activations