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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. 8688
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    Explanations

    phrases related to making decisions or taking actions

    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
    20439
    -0.71
    raught
    -0.69
    ²¾
    -0.68
    oubted
    -0.65
    ritional
    -0.64
    oubt
    -0.64
    tnc
    -0.62
    rocal
    -0.61
     actionGroup
    -0.61
    ounter
    -0.60
    POSITIVE LOGITS
     goddamn
    1.41
    *.
    1.18
    !
    1.17
    !!!
    1.17
     damn
    1.16
     godd
    1.14
     fucking
    1.14
    !!!!!!!!
    1.11
    !!!!
    1.11
    !!!!!
    1.10
    Activations Density 1.008%

    No Known Activations