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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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    Explanations

    terms related to tragic events or acts of extreme violence

    oai_token-act-pair · gpt-3.5-turbo

    references to violent events characterized as massacres

    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
    Not in Any Lists

    No Comments

    Negative Logits
    XY
    -0.80
     Benson
    -0.77
     Edison
    -0.73
    Cand
    -0.70
     EVs
    -0.68
     eg
    -0.65
     Hamilton
    -0.64
    spin
    -0.64
     Flex
    -0.64
     DOE
    -0.63
    POSITIVE LOGITS
     massacre
    3.36
     Massacre
    2.68
     massacres
    2.67
     slaughter
    2.29
     massac
    2.21
     carnage
    1.93
     atroc
    1.93
     slaughtered
    1.91
     genocide
    1.86
     killings
    1.80
    Activations Density 0.028%

    No Known Activations