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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. 7-RES-JB
    11. 24551
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    Explanations

    phrases related to reaching a certain stage or level

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific moment or stage in a process or progression

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    license
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    ãĥ¼ãĥĨãĤ£
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     Included
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    eret
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    ãĤ´ãĥ³
    -0.65
    ply
    -0.64
    Ward
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    advertisement
    -0.60
    currently
    -0.59
     extensively
    -0.59
    POSITIVE LOGITS
     realization
    0.85
     somew
    0.82
     realizing
    0.77
    iphany
    0.74
     unthinkable
    0.73
     ceases
    0.72
     realizes
    0.70
     awoken
    0.69
     reckoning
    0.68
    orescence
    0.66
    Activations Density 0.247%

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