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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. 6-RES-JB
    11. 3599
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    Explanations

    phrases related to criticism and evaluation of various topics

    oai_token-act-pair · gpt-3.5-turbo

    punctuation and structured lists within the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ļéĨĴ
    -0.57
     challeng
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     disadvant
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    chnology
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    abase
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     corrid
    -0.51
    coni
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    VERTISEMENT
    -0.50
    arde
    -0.48
     helicop
    -0.48
    POSITIVE LOGITS
     please
    0.83
    please
    0.73
     huh
    0.70
     albeit
    0.63
     thank
    0.59
     PLEASE
    0.59
     sir
    0.58
     yeah
    0.58
     though
    0.58
     uh
    0.58
    Activations Density 0.372%

    No Known Activations