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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
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    oai_token-act-pair · gpt-3.5-turbo

    references to simulations and simulation-related concepts

    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
    nuts
    -0.85
    turn
    -0.80
    çĦ
    -0.78
    stones
    -0.77
    umper
    -0.74
    acious
    -0.72
    reek
    -0.71
    nut
    -0.69
    bolt
    -0.68
    cake
    -0.67
    POSITIVE LOGITS
     simulate
    1.11
     simulation
    1.01
     simulations
    0.98
     simulated
    0.96
     Simulation
    0.92
    ãĤ§
    0.89
     sim
    0.80
     Robo
    0.80
    iliar
    0.80
    ulators
    0.78
    Activations Density 0.014%

    No Known Activations