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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. 12183
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    Explanations

    mentions of the name "Ron"

    oai_token-act-pair · gpt-3.5-turbo

    references to the name "Ron"

    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
     td
    -0.64
    hower
    -0.63
     completion
    -0.63
     Chiefs
    -0.62
    LOAD
    -0.62
     depos
    -0.60
     sugg
    -0.59
     Dakota
    -0.58
    alam
    -0.58
     Pixie
    -0.57
    POSITIVE LOGITS
    aldo
    1.00
    ny
    0.99
    ald
    0.97
    nie
    0.94
     Weasley
    0.93
     Swanson
    0.90
    nen
    0.87
    Paul
    0.86
    nered
    0.84
     Paul
    0.84
    Activations Density 0.013%

    No Known Activations