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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. 23457
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    Explanations

    phrases related to communication and interpersonal interactions

    oai_token-act-pair · gpt-3.5-turbo

    interactions and expressions of personal opinions

    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
    etheless
    -0.78
    ģĸ
    -0.70
    xtap
    -0.64
    minist
    -0.64
    ãĤ´ãĥ³
    -0.63
    ielding
    -0.63
    ield
    -0.60
    £ı
    -0.60
    aml
    -0.60
    ãĥĺ
    -0.60
    POSITIVE LOGITS
     themselves
    1.63
     their
    1.06
     THEIR
    1.03
     us
    0.95
    selves
    0.95
     âĢ¦"
    0.94
    )."
    0.91
     me
    0.90
    their
    0.89
     ..."
    0.89
    Activations Density 0.907%

    No Known Activations