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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. 2-RES-JB
    11. 12323
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    INDEX
    Explanations

    references to research or study findings

    oai_token-act-pair · gpt-3.5-turbo

    mentions of research findings or conclusions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mph
    -0.71
     paced
    -0.70
     monop
    -0.67
     leisure
    -0.64
     wildfire
    -0.64
     Cav
    -0.62
    rons
    -0.62
     schooling
    -0.61
    osi
    -0.61
    yss
    -0.60
    POSITIVE LOGITS
     findings
    0.96
    iveness
    0.94
    ãĤ¦ãĤ¹
    0.92
    uggest
    0.91
    ĸļ
    0.86
    TextColor
    0.84
    furt
    0.78
    DragonMagazine
    0.78
    itute
    0.76
    ivist
    0.75
    Activations Density 0.023%

    No Known Activations