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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. 3-RES-JB
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    Explanations

    references to armored vehicles and military equipment

    oai_token-act-pair · gpt-3.5-turbo

    terms related to armored vehicles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    âĸ¬
    -0.97
    ãĤ§
    -0.95
    Created
    -0.91
    rx
    -0.87
    çīĪ
    -0.84
    ãĤ´ãĥ³
    -0.76
    Buzz
    -0.73
    ãĥ£
    -0.72
    Hop
    -0.72
    ples
    -0.72
    POSITIVE LOGITS
     armoured
    0.98
     armored
    0.92
     brig
    0.86
     personnel
    0.86
     patrols
    0.86
     vehicles
    0.83
     trucks
    0.83
     checkpoints
    0.82
    iterranean
    0.82
     cars
    0.82
    Activations Density 0.014%

    No Known Activations