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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. 6-RES-JB
    11. 12298
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    Explanations

    phrases related to debunking or correcting false claims

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "about" used in the context of discussing various claims or topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    OGR
    -0.84
    hesis
    -0.82
    rift
    -0.81
    ³³³³
    -0.79
    waters
    -0.77
    KC
    -0.73
    gallery
    -0.73
    ³³³³³³³³³³³³³³³³
    -0.72
    hiba
    -0.72
    chnology
    -0.71
    POSITIVE LOGITS
     how
    0.90
     whether
    0.84
     respecting
    0.71
     calib
    0.71
     bullets
    0.70
     reforming
    0.69
     migrating
    0.67
     vaccines
    0.67
     protecting
    0.66
     topics
    0.65
    Activations Density 0.099%

    No Known Activations