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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 18044
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    '."
    -0.60
    âĶĢâĶĢâĶĢâĶĢ
    -0.59
     Neh
    -0.56
     predec
    -0.56
    ."[
    -0.56
    ihil
    -0.55
    .'"
    -0.55
    ".[
    -0.53
    ļé
    -0.52
    SPONSORED
    -0.52
    POSITIVE LOGITS
     analogy
    0.52
    Coin
    0.51
    bnb
    0.50
     &
    0.49
     or
    0.49
    !:
    0.48
    kat
    0.47
    gor
    0.47
    ora
    0.47
    hack
    0.46
    Activations Density 1.215%

    No Known Activations