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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. 1-RES-JB
    11. 16069
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    Explanations

    phrases related to giving or receiving a treat or reward

    oai_token-act-pair · gpt-3.5-turbo

    phrases and contexts related to treatment and care

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aer
    -0.64
    hover
    -0.64
    dc
    -0.61
    ustainable
    -0.61
    coe
    -0.59
    audi
    -0.58
     plane
    -0.58
    rake
    -0.57
     Land
    -0.57
     reflection
    -0.56
    POSITIVE LOGITS
    ises
    1.07
    ttes
    0.91
     treat
    0.89
    ties
    0.89
    terson
    0.84
     treats
    0.81
    ãĥīãĥ©
    0.81
     Treat
    0.80
    resses
    0.80
    ments
    0.79
    Activations Density 0.007%

    No Known Activations