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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. 3790
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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
     Whereas
    -0.74
    edin
    -0.70
    hatt
    -0.69
    BN
    -0.69
    soever
    -0.69
    mare
    -0.67
    IED
    -0.67
    LED
    -0.66
    ester
    -0.65
    enery
    -0.65
    POSITIVE LOGITS
     simultaneous
    0.99
     rapid
    0.96
     greater
    0.96
     drastic
    0.93
     gradual
    0.91
     redistribution
    0.91
     unforeseen
    0.91
     considerable
    0.90
     comparisons
    0.89
     mutual
    0.88
    Activations Density 0.131%

    No Known Activations