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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. 11-RES-JB
    6. 20041
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    Explanations

    numbers with a decimal point

    oai_token-act-pair · gpt-3.5-turbo

    numerical data or statistics related to demographics or health metrics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     afore
    -0.64
     advoc
    -0.60
    âĹ¼
    -0.58
    Redditor
    -0.56
     philos
    -0.55
     pudding
    -0.55
     predec
    -0.54
     peripher
    -0.53
     perspect
    -0.51
     comr
    -0.51
    POSITIVE LOGITS
    9
    1.60
    8
    1.58
    6
    1.58
    7
    1.56
    4
    1.52
    5
    1.50
    0
    1.49
    3
    1.49
    2
    1.42
    1
    1.42
    Activations Density 0.050%

    No Known Activations