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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. 8-RES-JB
    11. 9828
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    Explanations

    terms related to the impact or influence of actions on various entities or situations

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "affect" and its variations in contexts related to influence or impact

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    zar
    -0.75
    çĦ
    -0.73
    BuyableInstoreAndOnline
    -0.69
    ç«
    -0.67
    Sham
    -0.66
     Kinnikuman
    -0.65
    atom
    -0.64
    ãĤ©
    -0.62
    iHUD
    -0.62
    Plot
    -0.62
    POSITIVE LOGITS
     adversely
    0.94
    uate
    0.90
     havoc
    0.88
     interstate
    0.87
     perceptions
    0.86
     outcomes
    0.84
     livelihood
    0.81
     impacts
    0.81
     negatively
    0.81
     peoples
    0.78
    Activations Density 0.045%

    No Known Activations