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    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. 12394
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    Explanations

    references to military aircraft and related equipment

    oai_token-act-pair · gpt-3.5-turbo

    references to specific military aircraft and related programs

    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
    estamp
    -0.83
    âĸ¬
    -0.73
    abase
    -0.72
    tones
    -0.71
    properties
    -0.67
    netflix
    -0.66
    ktop
    -0.66
    hess
    -0.66
    erville
    -0.65
    hack
    -0.64
    POSITIVE LOGITS
    Bs
    1.13
    bis
    1.07
     aircraft
    1.04
     fighter
    1.03
     reconnaissance
    0.97
    Cs
    0.95
     helicopters
    0.94
     pilots
    0.91
     Thunderbolt
    0.90
    s
    0.89
    Activations Density 0.063%

    No Known Activations