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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. 2-RES-JB
    11. 23808
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    Explanations

    references to a specific company or brand

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific fast-food chain or brand

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Dru
    -0.77
     heck
    -0.65
    lihood
    -0.65
    Downloadha
    -0.65
     Ples
    -0.64
     Arbor
    -0.64
    ãĤ°
    -0.62
     Twain
    -0.61
     Gabriel
    -0.61
     Heck
    -0.60
    POSITIVE LOGITS
    FC
    1.00
    ritical
    0.90
    ranch
    0.90
    asting
    0.89
    ombat
    0.87
    urrent
    0.87
    erning
    0.85
    asters
    0.84
    urry
    0.83
    riad
    0.82
    Activations Density 0.006%

    No Known Activations