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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. 6-RES-JB
    11. 5095
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to physics and its concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    HCR
    -0.78
    oway
    -0.75
    embed
    -0.74
    ibaba
    -0.72
    ged
    -0.71
    yrinth
    -0.71
    ovo
    -0.71
    illard
    -0.71
    strom
    -0.71
    ieft
    -0.71
    POSITIVE LOGITS
     physicists
    1.18
     physicist
    1.12
     physics
    0.98
     Physics
    0.85
    ERN
    0.83
    ysics
    0.83
     sciences
    0.80
     physic
    0.79
     acceler
    0.77
     puzz
    0.77
    Activations Density 0.020%

    No Known Activations