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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. 1687
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    Explanations

    phrases related to technological devices and processes

    oai_token-act-pair · gpt-3.5-turbo

    inquiries related to the provision and use of information

    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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    No Comments

    Negative Logits
    schild
    -0.60
    ohydrate
    -0.55
     Kaplan
    -0.52
    ihara
    -0.50
     Malone
    -0.48
    irteen
    -0.48
     Slate
    -0.47
    FTWARE
    -0.47
     Manz
    -0.47
     Seym
    -0.47
    POSITIVE LOGITS
     thereof
    0.81
     thereto
    0.81
     thereafter
    0.80
     alot
    0.76
     afterwards
    0.74
     accordingly
    0.70
     dont
    0.69
    )?
    0.68
     didnt
    0.68
     doesnt
    0.67
    Activations Density 2.038%

    No Known Activations