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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. 9-RES-JB
    6. 2163
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    Explanations

    terms related to numerical ranges or options

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Canaver
    -0.61
     Lovecraft
    -0.60
    ians
    -0.58
     Kung
    -0.57
     pandemonium
    -0.57
     satisfaction
    -0.55
     Rodrigo
    -0.55
     Lanka
    -0.55
     Beauty
    -0.55
     hurd
    -0.54
    POSITIVE LOGITS
    thirds
    1.73
    dimensional
    1.24
    hander
    1.21
    sided
    1.20
     thirds
    1.18
    handed
    1.17
    dozen
    1.13
    faced
    1.12
    tone
    1.10
    tier
    1.08
    Activations Density 0.049%

    No Known Activations