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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. 4-RES-JB
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    Explanations

    mentions of the financial news channel "CNBC"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the network CNBC

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

    No Comments

    Negative Logits
    ãĥł
    -0.74
    ment
    -0.68
    ÑĮ
    -0.67
    chest
    -0.66
    alities
    -0.64
    nee
    -0.63
     Franks
    -0.62
    drawn
    -0.62
     Sega
    -0.62
     Masquerade
    -0.61
    POSITIVE LOGITS
     CNBC
    0.91
    elsius
    0.88
    nces
    0.80
    ython
    0.78
    erity
    0.75
    ccoli
    0.72
    ulously
    0.71
    enhagen
    0.70
    trop
    0.68
    overed
    0.68
    Activations Density 0.019%

    No Known Activations