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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. 3-RES-JB
    11. 13374
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    Explanations

    words related to significant or extreme occurrences

    oai_token-act-pair · gpt-3.5-turbo

    references to significant occurrences or events, particularly those with critical or catastrophic implications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ilings
    -0.79
    artisan
    -0.77
    ickets
    -0.72
     Excellence
    -0.69
    oglu
    -0.67
    emies
    -0.66
    zik
    -0.65
    egal
    -0.65
    yrics
    -0.65
    mbuds
    -0.64
    POSITIVE LOGITS
     transpired
    0.83
    uate
    0.81
     occurring
    0.80
     events
    0.80
    event
    0.77
    uated
    0.77
     unfold
    0.77
    telling
    0.76
    uating
    0.76
     event
    0.75
    Activations Density 0.030%

    No Known Activations