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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. 7-RES-JB
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    Explanations

    references to explosive devices

    oai_token-act-pair · gpt-3.5-turbo

    references to explosive devices and their components

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    naire
    -0.85
    SEA
    -0.84
    aird
    -0.84
    heit
    -0.79
    esan
    -0.78
    abouts
    -0.78
    alth
    -0.75
    egal
    -0.72
    naires
    -0.71
     Vale
    -0.70
    POSITIVE LOGITS
     deton
    1.01
     detonated
    0.93
     disposal
    0.90
     explosive
    0.88
     residue
    0.86
     explosives
    0.85
     incendiary
    0.84
     decomp
    0.83
     ignition
    0.82
     warheads
    0.81
    Activations Density 0.037%

    No Known Activations