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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. 6666
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    Explanations

    phrases related to execution or evaluation

    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
    WER
    -0.71
     Parenthood
    -0.68
     Ern
    -0.66
    Reviewer
    -0.63
    bird
    -0.62
    bones
    -0.62
     ATL
    -0.61
    ¿½
    -0.61
     Fifth
    -0.61
     Grail
    -0.60
    POSITIVE LOGITS
    uation
    1.91
    utions
    1.80
    uating
    1.76
    uations
    1.73
    uated
    1.66
    uting
    1.64
    ution
    1.63
    ulatory
    1.62
    uates
    1.52
    utable
    1.52
    Activations Density 0.101%

    No Known Activations