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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 6802
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    INDEX
    Explanations

    phrases related to explosive devices

    oai_token-act-pair · gpt-3.5-turbo

    terms related to explosives and detonators

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    heit
    -0.79
    esan
    -0.78
    aird
    -0.74
    SEA
    -0.74
    }}}
    -0.71
    Disney
    -0.70
    ĻĤ
    -0.70
     Borders
    -0.70
    orses
    -0.69
     Shepherd
    -0.68
    POSITIVE LOGITS
     detonated
    1.57
     deton
    1.46
     grenades
    1.25
     explosives
    1.23
     explosions
    1.19
     grenade
    1.15
     ignition
    1.14
     explosion
    1.14
     bombs
    1.09
     explosive
    1.07
    Activations Density 0.078%

    No Known Activations