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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. 5329
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    INDEX
    Explanations

    phrases related to performing tasks with specific attributes such as compassion, integrity, precision, distinction, and more

    oai_token-act-pair · gpt-3.5-turbo

    prepositions and phrases indicating conditions or methods of action

    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
    estate
    -0.82
     Related
    -0.77
    sylvania
    -0.72
     Industries
    -0.68
    buster
    -0.66
     encount
    -0.65
    ecycle
    -0.65
    00007
    -0.65
    ksh
    -0.65
    ounters
    -0.65
    POSITIVE LOGITS
     impunity
    1.76
     dignity
    1.32
     ease
    1.32
     minimal
    1.20
     utmost
    1.20
    stood
    1.19
     gust
    1.15
    standing
    1.13
     regard
    1.13
    draw
    1.12
    Activations Density 0.194%

    No Known Activations