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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. 8839
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    Explanations

    references to a specific entity named "Hart"

    oai_token-act-pair · gpt-3.5-turbo

    references to the name "Hart"

    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
    ntil
    -0.88
     srf
    -0.83
    terday
    -0.79
    ournal
    -0.72
    CLASSIFIED
    -0.69
     millenn
    -0.67
    ccording
    -0.67
     occas
    -0.64
    oulos
    -0.64
     eleph
    -0.63
    POSITIVE LOGITS
    mut
    1.13
    mann
    1.10
    nell
    1.09
    wig
    1.06
    lett
    1.02
    enstein
    0.98
    wick
    0.97
     Hart
    0.94
    lich
    0.94
    igan
    0.93
    Activations Density 0.004%

    No Known Activations