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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. 9-RES-JB
    11. 6127
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    Explanations

    references to multiple authors and publication years in a scholarly context

    oai_token-act-pair · gpt-3.5-turbo

    references to academic citations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     comprom
    -0.70
    FactoryReloaded
    -0.69
    buster
    -0.66
     breaker
    -0.63
     Maker
    -0.62
     Terran
    -0.61
    adobe
    -0.60
     srfAttach
    -0.60
     dawn
    -0.58
     slower
    -0.58
    POSITIVE LOGITS
    .,
    1.41
    .;
    1.04
    .,"
    0.95
    .:
    0.94
    inks
    0.89
    .),
    0.86
    .).
    0.85
    herty
    0.84
    ogue
    0.83
    ./
    0.82
    Activations Density 0.019%

    No Known Activations