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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 2-RES-JB
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    Explanations

    instances of someone or something physically holding an object or person

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "holding."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    debian
    -0.81
    gnu
    -0.71
    icity
    -0.71
    inx
    -0.68
    ettel
    -0.68
    endix
    -0.66
    imet
    -0.65
     Plain
    -0.63
    mph
    -0.63
    edit
    -0.63
    POSITIVE LOGITS
     hold
    0.91
    held
    0.91
    holders
    0.90
    holding
    0.87
    hold
    0.87
    pole
    0.85
    holder
    0.85
     sway
    0.82
     Held
    0.79
     captive
    0.77
    Activations Density 0.014%

    No Known Activations