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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. 6-RES-JB
    11. 758
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    Explanations

    phrases related to firearms and ammunition

    oai_token-act-pair · gpt-3.5-turbo

    references to ammunition and its quantities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Redd
    -0.73
    ECA
    -0.69
     Tir
    -0.68
    Alabama
    -0.68
     Alps
    -0.68
    Sea
    -0.67
    Forest
    -0.67
    Madison
    -0.67
    Fra
    -0.66
    Scotland
    -0.65
    POSITIVE LOGITS
     cartridges
    1.14
     cartridge
    0.96
    munition
    0.95
    gun
    0.94
     ammunition
    0.94
     projectiles
    0.94
    guns
    0.92
     discharged
    0.87
     detonated
    0.87
     grenades
    0.86
    Activations Density 0.043%

    No Known Activations