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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. 13288
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    Explanations

    terms related to specific time periods

    oai_token-act-pair · gpt-3.5-turbo

    references to specific time periods or phrases indicating past events

    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
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    No Comments

    Negative Logits
    ossier
    -0.73
    achus
    -0.68
    icism
    -0.67
    icter
    -0.64
     plague
    -0.64
    osate
    -0.63
    let
    -0.61
     Piece
    -0.61
     Pwr
    -0.60
    endum
    -0.60
    POSITIVE LOGITS
     sorts
    1.10
     days
    1.05
     circumstances
    0.98
     kinds
    0.96
     shores
    0.93
     occasions
    0.91
     confines
    0.91
     situations
    0.90
     respects
    0.88
     pages
    0.87
    Activations Density 0.087%

    No Known Activations