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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 10-RES-JB
    11. 16597
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    INDEX
    Explanations

    positive qualities or attributes about something

    oai_token-act-pair · gpt-3.5-turbo

    terms indicating positive quality or performance

    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
    hyde
    -0.71
    emb
    -0.71
    isSpecialOrderable
    -0.70
    let
    -0.70
    ":[
    -0.69
    rophe
    -0.69
    emonium
    -0.69
    Clar
    -0.68
    uthor
    -0.65
    lets
    -0.65
    POSITIVE LOGITS
     grades
    1.12
     quality
    1.07
     intentions
    1.07
     results
    1.06
     luck
    1.05
     odds
    1.04
     outcomes
    1.01
     fundamentals
    0.99
     ratios
    0.98
     amounts
    0.94
    Activations Density 0.132%

    No Known Activations