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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. 6-RES-JB
    11. 938
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    Explanations

    Phrases related to interviews conducted by various media outlets

    oai_token-act-pair · gpt-3.5-turbo

    possessive forms referring to individuals, particularly in the context of media

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sson
    -0.83
    anism
    -0.73
    shire
    -0.71
    ovic
    -0.71
    mo
    -0.71
    hari
    -0.70
    ettle
    -0.70
    ento
    -0.69
    alist
    -0.68
    flix
    -0.68
    POSITIVE LOGITS
     own
    1.00
     newest
    1.00
     finest
    0.89
     flagship
    0.87
     portrayal
    0.84
     latest
    0.84
    ullivan
    0.81
     inaugural
    0.80
     biggest
    0.78
     Investigative
    0.75
    Activations Density 0.127%

    No Known Activations