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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 3776
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    Explanations

    adjectives describing nuanced characteristics or qualities

    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
    ousands
    -0.77
    911
    -0.75
    Thousands
    -0.71
    Never
    -0.68
    respective
    -0.68
    Article
    -0.68
    successfully
    -0.64
    ulner
    -0.63
    illions
    -0.63
    ULTS
    -0.62
    POSITIVE LOGITS
     depending
    0.80
     eh
    0.77
     vibe
    0.72
     haha
    0.70
     lately
    0.69
     alright
    0.69
     poking
    0.68
     overboard
    0.67
     reminis
    0.67
     huh
    0.66
    Activations Density 0.295%

    No Known Activations