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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. 9-RES-JB
    11. 13758
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    Explanations

    subjects or topics of discussion or controversy

    oai_token-act-pair · gpt-3.5-turbo

    repeated references to the concept of being a subject, target, or focus of discussions, investigations, or reports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ipolar
    -0.62
     paran
    -0.61
    rave
    -0.59
    ccess
    -0.59
    ignt
    -0.59
    osen
    -0.58
    oth
    -0.58
    mbuds
    -0.57
    mia
    -0.56
     Airways
    -0.54
    POSITIVE LOGITS
    iest
    0.96
     thereof
    0.91
    liest
    0.91
     of
    0.84
     centerpiece
    0.78
    piece
    0.73
    pieces
    0.72
     brunt
    0.72
    illac
    0.71
    liner
    0.67
    Activations Density 0.137%

    No Known Activations