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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. 8-RES-JB
    11. 5099
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    Explanations

    phrases related to taking action or responsibility

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating effort or attempts to achieve something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Klu
    -0.74
     Used
    -0.69
    prem
    -0.62
     Spaces
    -0.60
     Floating
    -0.60
     Camer
    -0.60
     Newsp
    -0.59
     Observer
    -0.59
     Lem
    -0.59
     Hann
    -0.58
    POSITIVE LOGITS
     improve
    1.41
     promote
    1.37
     ensure
    1.33
     maximize
    1.30
     conserve
    1.30
     alleviate
    1.27
     minimize
    1.27
     emulate
    1.24
     mitigate
    1.23
     optimize
    1.22
    Activations Density 0.182%

    No Known Activations