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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. 0-RES-JB
    11. 6435
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    Explanations

    phrases or words related to foresight or predicting future events

    oai_token-act-pair · gpt-3.5-turbo

    words related to prediction or foresight

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Rampage
    -0.73
     Quan
    -0.72
    oise
    -0.68
    lux
    -0.67
    Quality
    -0.66
    VPN
    -0.66
    ¶
    -0.64
    paces
    -0.64
     Tess
    -0.64
    orie
    -0.63
    POSITIVE LOGITS
     fore
    4.09
    fore
    2.23
     Fore
    2.15
    Fore
    2.05
    FORE
    1.31
     foresee
    1.19
     anticip
    1.12
     forecasting
    1.07
     foreclosure
    1.07
     hind
    1.04
    Activations Density 0.028%

    No Known Activations