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    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. 16888
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    Explanations

    words related to important or significant information

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "word"

    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
    Not in Any Lists

    No Comments

    Negative Logits
    âĹ¼
    -0.86
    psey
    -0.74
    heres
    -0.69
     Skydragon
    -0.69
    DERR
    -0.69
    angan
    -0.67
    ervation
    -0.67
    iery
    -0.66
    etheus
    -0.66
    \/\/
    -0.65
    POSITIVE LOGITS
    press
    1.00
     word
    0.98
    sworth
    0.92
    naire
    0.87
    Word
    0.84
     Word
    0.81
     processor
    0.75
    word
    0.74
    bomb
    0.73
     learners
    0.71
    Activations Density 0.018%

    No Known Activations