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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. 8819
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    Explanations

    years, dates, and references in academic or formal writing formats

    oai_token-act-pair · gpt-3.5-turbo

    specific years in 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
    ongs
    -0.59
    VALUE
    -0.58
    manship
    -0.58
     imagination
    -0.57
     smugglers
    -0.57
    arnaev
    -0.56
    ivalry
    -0.55
    ounge
    -0.54
    sheets
    -0.54
     snowball
    -0.53
    POSITIVE LOGITS
    å¹
    0.87
     ).
    0.84
    ).
    0.80
    )].
    0.78
    published
    0.78
    )—
    0.78
     ),
    0.77
    )).
    0.76
     pp
    0.75
     supra
    0.74
    Activations Density 0.042%

    No Known Activations