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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. 21268
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    Explanations

    prepositions followed by nouns or verb phrases indicating conflict or opposition

    oai_token-act-pair · gpt-3.5-turbo

    prepositions and phrases indicating opposition or conditions

    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
    mask
    -0.73
    âĨij
    -0.65
    liner
    -0.65
    fortunately
    -0.60
    LV
    -0.59
    MU
    -0.58
    KNOWN
    -0.58
    vill
    -0.58
    hent
    -0.58
     CLS
    -0.58
    POSITIVE LOGITS
     terms
    0.63
     behalf
    0.61
     regard
    0.59
    assian
    0.59
    tein
    0.57
     bidding
    0.56
     transact
    0.55
     bids
    0.55
    ertodd
    0.54
    ussian
    0.54
    Activations Density 0.586%

    No Known Activations