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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. 11-RES-JB
    6. 3991
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    INDEX
    Explanations

    names containing the specific pattern "Sar" followed by different characters

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of the name "Sar" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     post
    -0.62
     grid
    -0.62
    MAP
    -0.62
     tense
    -0.62
     flourish
    -0.60
    ense
    -0.59
     favorable
    -0.59
     Hardy
    -0.58
     set
    -0.58
     curfew
    -0.58
    POSITIVE LOGITS
    kees
    1.31
    wark
    1.10
    andon
    1.08
    vati
    1.07
    aya
    1.07
    abeth
    1.06
    aband
    1.04
    uba
    1.02
    ashtra
    0.97
    ban
    0.96
    Activations Density 0.028%

    No Known Activations