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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. 12-RES-JB
    11. 2495
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    Explanations

    terms related to cyber threats and malware, including ransomware, backdoors, and hacking tools

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    references to malware and ransomware

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    hani
    -0.73
    ĸļ
    -0.67
     Tanz
    -0.65
    icken
    -0.65
    thumbnails
    -0.65
    esan
    -0.64
     offic
    -0.63
     Vide
    -0.63
     Attend
    -0.63
    ional
    -0.63
    POSITIVE LOGITS
    WARE
    1.18
    ware
    1.05
    bytes
    1.04
     malware
    0.96
     Trojan
    0.95
    eware
    0.94
    kit
    0.94
     worm
    0.92
     scanners
    0.92
     backdoor
    0.90
    Activations Density 0.163%

    No Known Activations