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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. 9-RES-JB
    6. 21840
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    INDEX
    Explanations

    phrases indicating collective responsibility or unity

    oai_token-act-pair · gpt-3.5-turbo

    references to collective experiences or shared knowledge

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •All the Features!

    No Comments

    Negative Logits
    luster
    -0.75
    ahime
    -0.61
     arresting
    -0.61
    ESH
    -0.60
    ALL
    -0.60
    folios
    -0.58
    erate
    -0.58
    mination
    -0.57
    istant
    -0.57
    lash
    -0.56
    POSITIVE LOGITS
    ocating
    1.09
     alike
    0.90
     agree
    0.87
     kinds
    0.85
     collectively
    0.83
    uding
    0.78
    ################
    0.77
     agreed
    0.77
     gotta
    0.72
    together
    0.72
    Activations Density 0.034%

    No Known Activations