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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. 10-RES-JB
    11. 16246
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    Explanations

    individuals who have retired from a profession or career

    oai_token-act-pair · gpt-3.5-turbo

    the term "retired" associated with military ranks or titles

    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
     ãĤµ
    -0.78
    rid
    -0.73
    uggest
    -0.73
    ascript
    -0.72
    apesh
    -0.70
    leep
    -0.69
    places
    -0.68
    urrencies
    -0.68
    lations
    -0.68
    ibo
    -0.65
    POSITIVE LOGITS
     colonel
    1.35
     lieutenant
    1.04
     firefighter
    1.01
     Colonel
    1.00
     accountant
    0.99
     USAF
    0.98
     soldier
    0.97
     Lieutenant
    0.97
     Army
    0.96
     professor
    0.95
    Activations Density 0.040%

    No Known Activations