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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. 3-RES-JB
    6. 22005
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    INDEX
    Explanations

    expressions that denote a large or significant amount

    oai_token-act-pair · gpt-3.5-turbo

    emphasized words indicating large quantities or high values

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     livest
    -0.87
    relations
    -0.74
     Dise
    -0.71
     Reincarn
    -0.70
    rative
    -0.67
    thood
    -0.66
    aded
    -0.64
    astery
    -0.64
    sych
    -0.64
    lict
    -0.63
    POSITIVE LOGITS
     hefty
    0.85
     chunk
    0.79
     whopping
    0.78
    pole
    0.71
    ï¸ı
    0.71
    ãĤĮ
    0.67
    bilt
    0.67
     Rack
    0.67
     slate
    0.65
     notch
    0.64
    Activations Density 0.046%

    No Known Activations