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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. 3-RES-JB
    11. 6036
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases that refer to various types or categories

    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
    jad
    -0.77
    bats
    -0.70
    owicz
    -0.67
    ilst
    -0.67
    clinton
    -0.66
    banks
    -0.64
    arie
    -0.63
    writers
    -0.63
    rat
    -0.62
     Brooke
    -0.62
    POSITIVE LOGITS
    thood
    0.70
     relig
    0.70
     precipitation
    0.69
     guiActiveUnfocused
    0.69
    ellation
    0.67
     luck
    0.65
     contr
    0.65
     Tradable
    0.64
     medicine
    0.64
     unconventional
    0.63
    Activations Density 0.219%

    No Known Activations