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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. 7-RES-JB
    11. 9442
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    Explanations

    reports of casualties and fatalities in different incidents

    oai_token-act-pair · gpt-3.5-turbo

    information pertaining to casualties and deaths in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Dreams
    -0.66
     disclaimer
    -0.65
    DIS
    -0.65
    wcsstore
    -0.65
    yssey
    -0.62
     Purpose
    -0.61
    arist
    -0.60
     Scrib
    -0.60
     resur
    -0.60
    æ©Ł
    -0.59
    POSITIVE LOGITS
     unarmed
    0.81
     apiece
    0.81
     bystanders
    0.79
     fatalities
    0.79
     casualties
    0.77
     gunshots
    0.74
    soever
    0.74
     deaths
    0.72
     civilians
    0.72
     victims
    0.71
    Activations Density 0.102%

    No Known Activations