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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. 3096
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    Explanations

    phrases indicating hypothetical or theoretical situations

    oai_token-act-pair · gpt-3.5-turbo

    the end of the document

    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
     showc
    -0.66
    MpServer
    -0.62
    blown
    -0.61
    ady
    -0.59
    ļéĨĴ
    -0.59
    -,
    -0.58
    ĵĺ
    -0.58
    Angelo
    -0.58
    Untitled
    -0.58
    arching
    -0.57
    POSITIVE LOGITS
     however
    1.05
     though
    0.87
     although
    0.84
     according
    0.81
     yes
    0.76
     we
    0.73
     there
    0.71
     please
    0.69
     moreover
    0.69
     whenever
    0.68
    Activations Density 0.138%

    No Known Activations