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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. 2-RES-JB
    6. 80
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to curated selections or recommendations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    the phrase "Editor's Picks"

    oai_token-act-pair · gpt-4-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lich
    -0.82
    eg
    -0.70
    sen
    -0.68
     Hills
    -0.67
    lia
    -0.66
    igi
    -0.65
    mph
    -0.65
    ris
    -0.65
    ev
    -0.63
    ded
    -0.62
    POSITIVE LOGITS
     Picks
    1.70
    ļéĨĴ
    1.19
    ettings
    0.93
    ertodd
    0.86
    CRIP
    0.83
    ometimes
    0.83
    pocket
    0.83
     Annotations
    0.82
    uggest
    0.81
    ::::::::
    0.77
    Activations Density 0.010%

    No Known Activations