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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. 3792
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    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
     awkwardly
    -0.72
     partName
    -0.71
     wondering
    -0.66
     sidx
    -0.62
    utterstock
    -0.60
     caric
    -0.58
     Springer
    -0.57
     suggests
    -0.56
    Attempts
    -0.56
     understandably
    -0.56
    POSITIVE LOGITS
     "#
    0.93
    clus
    0.91
    never
    0.90
    always
    0.81
     never
    0.79
     impartial
    0.78
     "'
    0.78
     inclusive
    0.78
     confidentiality
    0.78
    nothing
    0.77
    Activations Density 0.591%

    No Known Activations