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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. 19976
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    INDEX
    Explanations

    instances of time-related phrases or events

    oai_token-act-pair · gpt-3.5-turbo

    terms that indicate the process of searching or reflecting over time

    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
    quote
    -0.73
    interstitial
    -0.69
    âĺ
    -0.67
    Console
    -0.65
    REE
    -0.64
    cause
    -0.63
    abilia
    -0.62
    Hub
    -0.61
    ETS
    -0.61
    arde
    -0.61
    POSITIVE LOGITS
     unsuccessful
    1.06
     iterations
    1.04
     exhaustive
    1.03
     hiatus
    0.96
     deliber
    0.94
     setbacks
    0.93
     hesitation
    0.92
     exhausting
    0.91
     agon
    0.90
     ardu
    0.90
    Activations Density 0.214%

    No Known Activations