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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. 8-RES-JB
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    Explanations

    names of people on social media platforms

    oai_token-act-pair · gpt-3.5-turbo

    mentions of people's names and usernames, particularly in a social media context

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     ACTIONS
    -0.68
     iteration
    -0.66
    ãĢIJ
    -0.64
     BASE
    -0.64
     Directory
    -0.63
     Curiosity
    -0.61
     ACTION
    -0.59
    BILITIES
    -0.58
     DRM
    -0.57
    ãĥīãĥ©ãĤ´ãĥ³
    -0.57
    POSITIVE LOGITS
    Jr
    1.03
    ichick
    0.99
    uga
    0.93
    uty
    0.93
    ovy
    0.93
    alez
    0.92
    byn
    0.91
    /)
    0.90
    irez
    0.89
    veyard
    0.89
    Activations Density 0.072%

    No Known Activations