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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. 0-RES-JB
    6. 5910
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    Explanations

    statements where credit or acknowledgment is given to someone for a particular achievement or contribution

    oai_token-act-pair · gpt-3.5-turbo

    phrases involving the concept of being credited or recognized for achievements or contributions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    shape
    -0.66
     noise
    -0.63
     forms
    -0.63
    Py
    -0.63
     Construct
    -0.61
     sed
    -0.61
    mere
    -0.61
    opia
    -0.61
    grave
    -0.59
    kit
    -0.59
    POSITIVE LOGITS
     credited
    3.88
     attributed
    1.67
     credits
    1.65
     thanked
    1.51
     billed
    1.45
     lauded
    1.44
    redited
    1.39
     credit
    1.37
     blamed
    1.37
     cited
    1.35
    Activations Density 0.007%

    No Known Activations