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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. 2-RES-JB
    11. 1079
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    Explanations

    mentions of various types of malware

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of malware

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arist
    -0.77
    obar
    -0.77
    ndra
    -0.72
    âĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢ
    -0.72
    rite
    -0.71
    hani
    -0.70
    alist
    -0.69
    alt
    -0.68
    neys
    -0.67
     Herald
    -0.67
    POSITIVE LOGITS
     malware
    1.17
    bytes
    0.84
     ransomware
    0.83
     infections
    0.81
     outbreak
    0.81
     infect
    0.81
     Mehran
    0.78
     infection
    0.78
     hacking
    0.76
     fingerprints
    0.75
    Activations Density 0.007%

    No Known Activations