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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. 3-RES-JB
    11. 4603
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    Explanations

    references to the company Google

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the company Google

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    mble
    -0.91
    alid
    -0.89
    rone
    -0.77
    ROR
    -0.73
    iotic
    -0.73
    swing
    -0.72
    xual
    -0.70
    quez
    -0.70
    ivari
    -0.70
    iosis
    -0.69
    POSITIVE LOGITS
    plex
    0.92
     Scholar
    0.80
     Fiber
    0.77
     Doodle
    0.75
     Glass
    0.74
     Lunar
    0.73
     Maps
    0.73
     Nex
    0.71
     Chrome
    0.71
    geist
    0.71
    Activations Density 0.015%

    No Known Activations