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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. 4-RES-JB
    11. 1072
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    Explanations

    first person singular and plural pronouns used in combination with the modal verb "do" and questions

    oai_token-act-pair · gpt-3.5-turbo

    references to personal pronouns, specifically focused on "I" and "we" in various contexts

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

    No Comments

    Negative Logits
     Courage
    -0.69
     Babe
    -0.66
     srfAttach
    -0.65
    Cour
    -0.64
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.63
    leader
    -0.62
     Flavoring
    -0.62
     Brill
    -0.62
    ãĤ¦ãĤ¹
    -0.61
     Leader
    -0.60
    POSITIVE LOGITS
     mean
    0.81
     presume
    0.80
     propose
    0.80
     bother
    0.78
     follow
    0.78
     recognise
    0.78
    asel
    0.77
     intend
    0.77
     differ
    0.76
     sit
    0.76
    Activations Density 0.052%

    No Known Activations