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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. 1538
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to programming classes and their methods

    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
     millenn
    -0.76
    egal
    -0.69
    waters
    -0.68
    fare
    -0.68
    andum
    -0.66
    iverpool
    -0.65
    llah
    -0.65
    hiba
    -0.64
     videot
    -0.63
    antz
    -0.63
    POSITIVE LOGITS
     namespace
    1.02
     {}
    0.95
     constructor
    0.94
     Foo
    0.93
    classes
    0.93
     syntax
    0.90
     lookup
    0.87
     parameter
    0.87
     foo
    0.87
     API
    0.86
    Activations Density 0.134%

    No Known Activations