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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. 3-RES-JB
    11. 24097
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    Explanations

    phrases related to having control or authority over something

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "hold" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    icycle
    -0.70
    endix
    -0.69
     deceive
    -0.66
    ettel
    -0.63
    gnu
    -0.62
    >>\
    -0.62
    osal
    -0.60
    zyk
    -0.60
    vious
    -0.60
    odi
    -0.60
    POSITIVE LOGITS
    hold
    1.15
    holders
    1.03
    holding
    1.00
     hold
    0.97
    holder
    0.94
    held
    0.92
    erness
    0.87
     sway
    0.87
     Held
    0.80
     Holding
    0.77
    Activations Density 0.033%

    No Known Activations