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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. 5-RES-JB
    6. 13966
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    Explanations

    verbs related to causing or initiating actions

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "inst" and its variations, relating to instilling or installing concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Ô
    -0.85
    livious
    -0.72
     Nanto
    -0.71
     KING
    -0.67
     Skydragon
    -0.66
    ļéĨĴ
    -0.66
     Clyde
    -0.65
    jri
    -0.65
    Downloadha
    -0.65
    FACE
    -0.65
    POSITIVE LOGITS
    igator
    1.09
    igators
    1.06
    igated
    0.99
    agram
    0.95
    ru
    0.93
    igating
    0.91
    igation
    0.90
    uates
    0.90
    rave
    0.87
    ument
    0.87
    Activations Density 0.011%

    No Known Activations