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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. 6-RES-JB
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    Explanations

    references to emergency medical services

    oai_token-act-pair · gpt-3.5-turbo

    references to emergency medical services and their operations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xtap
    -0.84
    artisan
    -0.73
    ynt
    -0.71
    alph
    -0.68
    emouth
    -0.67
    urat
    -0.66
     Sins
    -0.66
    âĸ¬âĸ¬
    -0.66
    versely
    -0.65
    erent
    -0.65
    POSITIVE LOGITS
     paramed
    0.75
    monary
    0.75
     Signs
    0.71
     evacuation
    0.70
     paramedics
    0.69
     Admission
    0.67
     resusc
    0.67
    vation
    0.66
     Grimes
    0.64
     Resp
    0.64
    Activations Density 0.220%

    No Known Activations