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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. 20928
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    INDEX
    Explanations

    complex phrases or clauses beginning with "which"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "which", often indicating elaborate or descriptive clauses

    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
     Bed
    -0.74
     Baker
    -0.70
    politics
    -0.66
     Bucc
    -0.66
    let
    -0.65
    Behind
    -0.62
     Tracker
    -0.62
     Caf
    -0.62
     Ott
    -0.60
     Et
    -0.60
    POSITIVE LOGITS
    soever
    1.00
    xual
    0.86
     resulted
    0.82
     exposes
    0.79
    allows
    0.79
     brings
    0.77
    ĸļ
    0.76
     attracts
    0.76
     enables
    0.75
    amar
    0.74
    Activations Density 0.114%

    No Known Activations