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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. 4885
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    Explanations

    personal pronouns and actions performed on them

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals and personal interactions

    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
    SourceFile
    -0.69
    lance
    -0.65
     Lent
    -0.64
     Sharp
    -0.61
     Globe
    -0.58
    cean
    -0.57
     Seller
    -0.57
     Dart
    -0.57
     EntityItem
    -0.56
     Boe
    -0.56
    POSITIVE LOGITS
     unconscious
    0.97
     asleep
    0.94
     awake
    0.92
     alive
    0.88
     captive
    0.87
     prone
    0.86
     awa
    0.83
     accountable
    0.82
     down
    0.82
     aside
    0.81
    Activations Density 0.131%

    No Known Activations