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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. 23381
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    Explanations

    phrases related to book titles or topics

    oai_token-act-pair · gpt-3.5-turbo

    titles of works or concepts related to creation and innovation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
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    Negative Logits
     extingu
    -0.75
     slowing
    -0.73
     pend
    -0.73
     muted
    -0.72
     cutter
    -0.71
     outset
    -0.70
     compens
    -0.70
     resultant
    -0.69
     saturation
    -0.68
     cru
    -0.68
    POSITIVE LOGITS
     Things
    1.21
     Yourself
    1.14
     Kids
    1.14
     Lives
    1.14
     Happ
    1.14
     Places
    1.14
     Stupid
    1.14
     Stuff
    1.12
     Worse
    1.12
     Your
    1.12
    Activations Density 0.271%

    No Known Activations