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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. 13658
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    Explanations

    captions with an indication of an update or new information

    oai_token-act-pair · gpt-3.5-turbo

    instances of updates or announcements in text

    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
    ãģ®éŃĶ
    -0.83
    è¦ļéĨĴ
    -0.82
    urat
    -0.79
    zag
    -0.76
    undai
    -0.73
    åĤ
    -0.73
    apan
    -0.72
    æ©
    -0.72
    ochond
    -0.71
    ĨĴ
    -0.71
    POSITIVE LOGITS
     Apparently
    1.21
     Adds
    1.21
     Looks
    1.12
     Added
    1.10
     Shortly
    1.10
     According
    1.10
     Turns
    1.07
     Correct
    1.06
     Updated
    1.05
     Due
    1.04
    Activations Density 0.067%

    No Known Activations