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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. 10-RES-JB
    11. 4421
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    Explanations

    proper names of individuals

    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
     partying
    -0.69
     manipulating
    -0.67
     preceded
    -0.66
     fame
    -0.65
     discriminated
    -0.64
     puppies
    -0.64
     proves
    -0.64
     deliberate
    -0.63
     complete
    -0.63
     âĢ¦"
    -0.63
    POSITIVE LOGITS
     Cheong
    0.88
     Beir
    0.86
    yna
    0.80
     Cohen
    0.80
    arie
    0.78
     Chak
    0.78
    laus
    0.77
    orio
    0.76
    ilyn
    0.76
    aretz
    0.76
    Activations Density 0.322%

    No Known Activations