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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. 9-RES-JB
    11. 17977
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    Explanations

    contact information patterns, location mentions, and legal terms

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to emergency situations and notifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     emphas
    -0.93
     flavours
    -0.89
     colourful
    -0.89
     favourites
    -0.89
     recognise
    -0.87
     flavour
    -0.86
     £
    -0.84
     maths
    -0.82
     favourite
    -0.81
     recognised
    -0.77
    POSITIVE LOGITS
     statewide
    0.69
     neighborhoods
    0.68
    enforcement
    0.67
     counseling
    0.66
    defense
    0.65
    .�
    0.63
    .''
    0.62
     canceled
    0.62
     honoring
    0.61
     incarcer
    0.61
    Activations Density 1.722%

    No Known Activations