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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. 2-RES-JB
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    Explanations

    mentions of the National Rifle Association

    oai_token-act-pair · gpt-4-turbo

    references related to the National Rifle Association (NRA)

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the National Rifle Association and related firearm terminology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Hoo
    -0.70
     Grave
    -0.70
     Dull
    -0.69
     McDonnell
    -0.67
     Gill
    -0.66
     Clare
    -0.66
     Archdemon
    -0.66
    arget
    -0.65
     Io
    -0.65
    eff
    -0.64
    POSITIVE LOGITS
    istani
    0.84
     Oath
    0.82
     arsen
    0.81
     mosqu
    0.80
     Shooter
    0.80
    eers
    0.78
    hement
    0.76
    tarians
    0.76
     firearms
    0.76
    jriwal
    0.76
    Activations Density 0.015%

    No Known Activations