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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. 11-RES-JB
    11. 2182
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    Explanations

    references to tasks or assignments

    oai_token-act-pair · gpt-3.5-turbo

    references to tasks and assignments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     cig
    -0.70
     Neph
    -0.65
     Caption
    -0.62
     Oo
    -0.61
     Compton
    -0.61
    OAD
    -0.60
     depreciation
    -0.59
    otide
    -0.59
     Patt
    -0.59
     Powell
    -0.59
    POSITIVE LOGITS
    force
    1.34
    masters
    1.17
     force
    1.16
    forces
    1.09
    master
    1.06
    task
    1.03
     Force
    0.93
    kill
    0.93
     undertaken
    0.80
    manship
    0.80
    Activations Density 0.051%

    No Known Activations