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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. 23738
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    Explanations

    contractions

    oai_token-act-pair · gpt-3.5-turbo

    negative contractions and phrases indicating a state of being or condition

    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
    ESA
    -0.83
    jri
    -0.82
    anon
    -0.70
    udos
    -0.65
    Jackson
    -0.65
    lez
    -0.64
    âĢİ
    -0.64
    xit
    -0.64
    lash
    -0.63
    iffin
    -0.63
    POSITIVE LOGITS
     outnumbered
    0.79
     cheap
    0.72
     deduct
    0.72
     cheaper
    0.71
     outwe
    0.67
     already
    0.66
     messed
    0.66
     collateral
    0.65
     poorly
    0.65
     pree
    0.65
    Activations Density 0.392%

    No Known Activations