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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. 2519
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    Explanations

    phrases related to prolonged social interaction and teamwork

    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
    was
    -0.79
     WAS
    -0.70
    iHUD
    -0.67
    seen
    -0.66
    IFIED
    -0.66
    Was
    -0.66
    Interested
    -0.63
    standing
    -0.61
    Had
    -0.61
    being
    -0.61
    POSITIVE LOGITS
     strive
    1.33
     organize
    1.30
     assume
    1.26
     criticize
    1.25
     decide
    1.24
     rely
    1.24
     allocate
    1.22
     analyze
    1.21
     prescribe
    1.20
     regulate
    1.20
    Activations Density 0.517%

    No Known Activations