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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. 6-RES-JB
    6. 11878
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    Explanations

    phrases related to comparison and contrast

    oai_token-act-pair · gpt-3.5-turbo

    instances of punctuation, specifically commas, often indicating lists or separation in thoughts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    zos
    -0.82
    sers
    -0.65
    tv
    -0.62
    oir
    -0.62
    hn
    -0.61
    zers
    -0.61
    lvl
    -0.61
    aron
    -0.61
    lees
    -0.60
    aris
    -0.60
    POSITIVE LOGITS
     respectively
    0.89
     curfew
    0.70
     depending
    0.69
    depending
    0.65
    iffe
    0.57
     disclaim
    0.56
     dispos
    0.55
     whichever
    0.55
     premature
    0.55
    ilation
    0.54
    Activations Density 0.237%

    No Known Activations