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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. 1567
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    Explanations

    phrases related to recommending trying something out or playing games

    oai_token-act-pair · gpt-3.5-turbo

    phrases that encourage interaction or engagement with content

    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
    ©¶æ¥µ
    -0.71
    bringing
    -0.60
    lishes
    -0.59
     Horse
    -0.58
     exceptions
    -0.58
     immigrants
    -0.56
     dissidents
    -0.54
    Factor
    -0.54
     bureaucrats
    -0.53
     Os
    -0.53
    POSITIVE LOGITS
     aloud
    1.35
     firsthand
    1.24
     yourselves
    1.10
     yourself
    1.09
     myself
    1.04
     unfold
    0.97
     Yourself
    0.90
     offline
    0.83
     live
    0.83
    ullivan
    0.83
    Activations Density 0.272%

    No Known Activations