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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. 5-RES-JB
    6. 19282
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    Explanations

    phrases related to policies, regulations, and financial transactions

    oai_token-act-pair · gpt-3.5-turbo

    topics related to social justice and discrimination issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     largeDownload
    -0.67
    DK
    -0.63
    _>
    -0.63
    Dialogue
    -0.62
    CONCLUS
    -0.61
    canon
    -0.60
    APTER
    -0.59
    ilogy
    -0.59
    ovie
    -0.58
    ruary
    -0.58
    POSITIVE LOGITS
     themselves
    0.87
     their
    0.78
     illegally
    0.71
     theirs
    0.71
     harmful
    0.70
    entimes
    0.69
    their
    0.69
     unwanted
    0.68
     lifestyles
    0.67
     costly
    0.67
    Activations Density 2.100%

    No Known Activations