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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. 9-RES-JB
    11. 1649
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    Explanations

    descriptions of actions related to violence and destruction

    oai_token-act-pair · gpt-3.5-turbo

    actions related to violence and destruction

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    00200000
    -0.76
    fecture
    -0.73
    oga
    -0.72
     relinqu
    -0.71
    abetes
    -0.68
    awaru
    -0.67
    uties
    -0.66
    yout
    -0.66
    uid
    -0.65
    gey
    -0.65
    POSITIVE LOGITS
     bridges
    1.02
     roofs
    0.96
     windshield
    0.93
     buildings
    0.92
     entire
    0.89
     monuments
    0.88
     storefront
    0.86
     havoc
    0.84
     fences
    0.82
     windows
    0.82
    Activations Density 0.266%

    No Known Activations