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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. 4426
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    phrases related to the causation or result of actions

    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
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    No Comments

    Negative Logits
    rina
    -0.79
    thia
    -0.75
    æ©Ł
    -0.75
    anwhile
    -0.66
    ----------
    -0.61
    dozen
    -0.60
    atar
    -0.60
     ILCS
    -0.60
     presided
    -0.59
    è¦ļéĨĴ
    -0.59
    POSITIVE LOGITS
     sense
    1.15
     sure
    0.98
    hift
    0.93
     it
    0.92
     them
    0.88
     matters
    0.81
     navigating
    0.77
     mockery
    0.75
     headlines
    0.72
     comparisons
    0.71
    Activations Density 0.086%

    No Known Activations