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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. 14271
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    Explanations

    patterns of letters in multiple sequences

    oai_token-act-pair · gpt-3.5-turbo

    mentions of advertisements or marketing terms

    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
    untled
    -1.01
    advertisement
    -0.86
    ername
    -0.84
    ãĤ»
    -0.82
    glomer
    -0.81
    ãĥ¼ãĥĨãĤ£
    -0.80
    enhagen
    -0.79
    VIDIA
    -0.78
    ãĤ¶
    -0.78
    anmar
    -0.78
    POSITIVE LOGITS
     chin
    0.80
     ni
    0.71
     phr
    0.71
     Ud
    0.70
    tnc
    0.69
     Zot
    0.69
     Nord
    0.69
     lang
    0.67
     Nu
    0.67
     bi
    0.66
    Activations Density 0.246%

    No Known Activations