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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. 4-RES-JB
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    Explanations

    references to firearms

    oai_token-act-pair · gpt-3.5-turbo

    references to firearms and gun-related terminology

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

    No Comments

    Negative Logits
    eff
    -0.83
    gres
    -0.81
    ishi
    -0.72
     Archdemon
    -0.72
    hu
    -0.71
    graded
    -0.67
    sis
    -0.67
    grad
    -0.67
    sei
    -0.67
     Hoo
    -0.66
    POSITIVE LOGITS
     firearms
    1.11
     firearm
    1.05
     ammunition
    0.96
    powder
    0.84
    IGHTS
    0.84
     homicides
    0.82
     homicide
    0.81
     accessories
    0.80
     guns
    0.79
     blazing
    0.79
    Activations Density 0.015%

    No Known Activations