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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. 13590
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    Explanations

    phrases related to giving commands or making requests

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "ordered" related to directives or commands

    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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    shared
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    tex
    -0.67
     Echoes
    -0.66
    itched
    -0.64
    Unity
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    hack
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    POSITIVE LOGITS
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    0.79
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    0.73
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    0.71
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     involuntary
    0.66
    uria
    0.65
    etary
    0.65
     executions
    0.64
    Activations Density 0.030%

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