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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. 7-RES-JB
    6. 2494
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    Explanations

    phrases related to addressing or acknowledging an audience

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     deterior
    -0.76
     ordinance
    -0.74
    staking
    -0.71
     euth
    -0.67
     clauses
    -0.66
     outweigh
    -0.66
     destroys
    -0.65
     lapt
    -0.65
     withstand
    -0.65
     excess
    -0.65
    POSITIVE LOGITS
     Fellow
    0.82
    Introdu
    0.81
     welcome
    0.77
    yip
    0.73
    Exc
    0.72
     Welcome
    0.70
    SEE
    0.68
     Reader
    0.67
    Hello
    0.67
    Welcome
    0.67
    Activations Density 0.067%

    No Known Activations