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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
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    Explanations

    expressions related to threats against individuals

    oai_token-act-pair · gpt-3.5-turbo

    references to threats, particularly those related to violence or harm

    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
    arist
    -0.85
    bits
    -0.81
    çĦ
    -0.75
    ICAN
    -0.72
    æĸ
    -0.72
    apolis
    -0.70
    mys
    -0.70
    Band
    -0.70
    puted
    -0.70
     Balanced
    -0.69
    POSITIVE LOGITS
     threats
    0.94
     threat
    0.87
     posed
    0.87
     threatening
    0.84
     threatened
    0.80
     challeng
    0.79
     behav
    0.77
     intimidation
    0.77
    threat
    0.77
     Threat
    0.76
    Activations Density 0.022%

    No Known Activations