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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. 3-RES-JB
    11. 20381
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    Explanations

    documents being filed, requested, delayed, released, or sought after in legal or investigative contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to legal or official documents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eful
    -0.68
    Stars
    -0.68
    irth
    -0.67
    skill
    -0.67
    olean
    -0.66
    Ĥ¬
    -0.65
    oker
    -0.64
    ntil
    -0.63
     Flavoring
    -0.63
    akening
    -0.63
    POSITIVE LOGITS
     documents
    1.13
     document
    0.91
     Documents
    0.84
     detailing
    0.83
     evid
    0.83
     outlining
    0.80
     documenting
    0.79
     files
    0.77
    Documents
    0.77
     papers
    0.77
    Activations Density 0.019%

    No Known Activations