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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 8067
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    INDEX
    Explanations

    terms related to energy and power, especially those related to large quantities or high values

    oai_token-act-pair · gpt-3.5-turbo

    technical terms related to energy and infrastructure

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Bots
    -0.74
     Dahl
    -0.71
     ble
    -0.66
     refrain
    -0.66
     summ
    -0.66
     Nanto
    -0.65
     Khe
    -0.63
     Corpus
    -0.63
     pt
    -0.63
     Baal
    -0.63
    POSITIVE LOGITS
    ound
    1.13
    unction
    1.08
    orpor
    1.06
    illions
    1.04
    illion
    1.03
    uries
    1.02
    ockets
    1.01
    udget
    1.01
    ognitive
    1.00
    olar
    0.99
    Activations Density 0.073%

    No Known Activations