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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. 4176
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    Explanations

    references to specific names or entities, possibly related to a specific topic or context like a company, person, or location

    oai_token-act-pair · gpt-3.5-turbo

    references to specific brands or names, particularly those related to "Lite" products and prominent individuals

    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
    structed
    -0.79
    nels
    -0.76
    insula
    -0.72
    lished
    -0.68
    tained
    -0.68
    ãĥ¯ãĥ³
    -0.67
    kward
    -0.66
    ulating
    -0.66
    mitted
    -0.66
    Ĥª
    -0.64
    POSITIVE LOGITS
     Luthor
    0.98
    uania
    0.93
    yrics
    0.87
    uggage
    0.85
    ibrary
    0.83
    oyd
    0.79
    ongevity
    0.78
    orem
    0.75
    adders
    0.74
    ibrarian
    0.72
    Activations Density 0.117%

    No Known Activations