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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. 10-RES-JB
    6. 4296
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    INDEX
    Explanations

    large financial figures or numerical values

    oai_token-act-pair · gpt-3.5-turbo

    references to financial figures and economic statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Volunte
    -0.76
     Volunteer
    -0.73
     Shine
    -0.71
     Sham
    -0.69
     Lime
    -0.66
     Orient
    -0.66
     reception
    -0.66
    akeru
    -0.64
     Valencia
    -0.64
     Priest
    -0.63
    POSITIVE LOGITS
     trillion
    1.80
     billion
    1.73
    billion
    1.57
     Billion
    1.40
    bn
    1.25
     trillions
    1.24
    tn
    1.13
     billions
    1.07
     million
    1.01
     GDP
    0.89
    Activations Density 0.111%

    No Known Activations