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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. 11-RES-JB
    11. 13747
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    Explanations

    mentions of criminal activities

    oai_token-act-pair · gpt-3.5-turbo

    references to crime and criminal behavior

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    defense
    -1.02
    Defense
    -0.94
    bors
    -0.83
    colored
    -0.83
    imize
    -0.81
     canceled
    -0.80
     neighbors
    -0.79
     Theater
    -0.78
     neighboring
    -0.78
     Organizations
    -0.77
    POSITIVE LOGITS
     recognise
    1.63
     recognised
    1.59
     £
    1.59
     realise
    1.53
     realised
    1.52
     organising
    1.50
     programme
    1.48
     organisation
    1.46
     emphas
    1.45
     flavour
    1.44
    Activations Density 1.738%

    No Known Activations