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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 4-RES-JB
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    references to armored vehicles and related equipment

    oai_token-act-pair · gpt-3.5-turbo

    references to armored military vehicles and equipment

    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
    âĸ¬
    -0.98
    ãĤ§
    -0.91
    Created
    -0.87
    rx
    -0.86
    çīĪ
    -0.84
    ãĤ´ãĥ³
    -0.80
    vous
    -0.77
    ãĥ£
    -0.73
    ples
    -0.73
    âĸ¬âĸ¬
    -0.73
    POSITIVE LOGITS
     armoured
    0.93
     vehicles
    0.87
     personnel
    0.82
     patrols
    0.81
     brig
    0.80
     cargo
    0.80
     armored
    0.80
     cars
    0.80
     guards
    0.78
     trucks
    0.78
    Activations Density 0.010%

    No Known Activations