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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. 22007
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    INDEX
    Explanations

    phrases related to actions that need to be taken

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating intentions or objectives

    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
    MpServer
    -0.72
     respects
    -0.64
    */(
    -0.62
     Ambro
    -0.62
     readings
    -0.60
     IMAGES
    -0.60
    itudinal
    -0.60
    bats
    -0.60
    interstitial
    -0.60
     impressions
    -0.60
    POSITIVE LOGITS
     spare
    1.35
     contend
    1.18
     choose
    1.13
     conquer
    1.06
     explore
    1.03
     prove
    0.98
     dispose
    0.94
     spend
    0.94
     negotiate
    0.92
     expend
    0.92
    Activations Density 0.071%

    No Known Activations