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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. 0-RES-JB
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    Explanations

    mentions of guns

    oai_token-act-pair · gpt-3.5-turbo

    mentions of firearms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    âĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢ
    -0.80
    oulos
    -0.77
    aea
    -0.77
     Ethiop
    -0.75
    irez
    -0.74
     Incarn
    -0.72
     Chrys
    -0.69
     CentOS
    -0.68
    iosis
    -0.68
     Woodward
    -0.68
    POSITIVE LOGITS
     gun
    3.65
     guns
    2.76
    gun
    2.76
    Gun
    2.66
     Gun
    2.63
     firearm
    2.46
     handgun
    2.30
    guns
    2.28
     pistol
    2.27
     GUN
    2.24
    Activations Density 0.013%

    No Known Activations