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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. 10-RES-JB
    6. 20377
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ilion
    -0.72
     Continued
    -0.72
    Dialogue
    -0.67
    Compar
    -0.66
     elig
    -0.64
    been
    -0.64
    elia
    -0.63
    Activity
    -0.62
    felt
    -0.62
     Prediction
    -0.60
    POSITIVE LOGITS
     organize
    1.34
     propel
    1.28
     organise
    1.27
     establish
    1.24
     create
    1.22
     facilitate
    1.16
     formulate
    1.16
     define
    1.15
     stabilize
    1.15
     elevate
    1.15
    Activations Density 0.059%

    No Known Activations