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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. 4-RES-JB
    11. 1204
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    Explanations

    references to the Atari gaming system

    oai_token-act-pair · gpt-3.5-turbo

    references to specific video game consoles and related terms

    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
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    Negative Logits
    tro
    -0.77
    xual
    -0.70
    demand
    -0.68
    agents
    -0.65
     discount
    -0.64
    Interested
    -0.62
    CRIP
    -0.61
    lights
    -0.61
    guide
    -0.60
    eem
    -0.60
    POSITIVE LOGITS
     2600
    0.98
    Age
    0.92
    alogue
    0.87
    cest
    0.83
    apolis
    0.82
    tery
    0.81
    @@@@@@@@
    0.81
    eteenth
    0.77
    @@@@
    0.73
    thal
    0.72
    Activations Density 0.022%

    No Known Activations