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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. 24033
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    Explanations

    phrases related to firearms and gun control

    oai_token-act-pair · gpt-3.5-turbo

    references to gun ownership and control

    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
     Io
    -0.89
     UNESCO
    -0.86
     Nept
    -0.85
     Luxem
    -0.84
     Ips
    -0.82
     Fib
    -0.82
    atari
    -0.81
     Regions
    -0.80
     Programme
    -0.80
     Luxembourg
    -0.80
    POSITIVE LOGITS
     unarmed
    1.40
     crime
    1.37
     firearms
    1.36
     handguns
    1.36
     firearm
    1.33
     felon
    1.33
     homicides
    1.31
     lawful
    1.31
     guns
    1.28
     criminals
    1.28
    Activations Density 0.861%

    No Known Activations