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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. 12034
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    Explanations

    specific technology-related entities, such as company names and product models

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the brand "Dell."

    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
    ãĥ£
    -0.80
    Gaza
    -0.74
    chest
    -0.70
    âĸĪâĸĪ
    -0.70
    ãĤ¯
    -0.68
    Ľ
    -0.67
    ãģĻ
    -0.67
    ãĥĨ
    -0.66
    ãĥĦ
    -0.66
    SHIP
    -0.66
    POSITIVE LOGITS
    essen
    0.91
    awei
    0.91
    umin
    0.90
     Dell
    0.90
    unia
    0.83
    yard
    0.82
    illo
    0.79
    iverse
    0.78
     lapt
    0.77
    ossier
    0.76
    Activations Density 0.006%

    No Known Activations