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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. 0-RES-JB
    11. 9725
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    Explanations

    phrases related to specific organizations or entities, particularly mentioning the term "Discovery" and "Cadbury"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the "Discovery" channel and related brands

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oshenko
    -0.78
     ko
    -0.76
     expectancy
    -0.76
     pian
    -0.74
     productive
    -0.74
     hitter
    -0.73
    yna
    -0.73
     grunt
    -0.72
     isol
    -0.72
    ãĥ¼ãĥĨ
    -0.70
    POSITIVE LOGITS
     Discovery
    2.33
     Cad
    1.75
     Speed
    1.64
     Discover
    1.61
     Travel
    1.61
    iscovery
    1.60
     Cartoon
    1.38
     Reason
    1.31
     Twilight
    1.30
    Travel
    1.28
    Activations Density 0.038%

    No Known Activations