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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. 14722
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    Explanations

    phrases related to collaborations or partnerships

    oai_token-act-pair · gpt-3.5-turbo

    the repeated phrase "working with."

    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
    orius
    -0.61
    {{
    -0.60
    fighter
    -0.60
    etheus
    -0.60
     comput
    -0.60
    uploads
    -0.57
    ptoms
    -0.57
    reader
    -0.57
    Ap
    -0.56
    Ti
    -0.56
    POSITIVE LOGITS
     regard
    1.11
     regards
    1.09
    stood
    1.01
     respect
    0.89
    standing
    0.83
     impunity
    0.78
    ilateral
    0.71
     utmost
    0.69
    ERA
    0.68
     Shotgun
    0.67
    Activations Density 0.071%

    No Known Activations