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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 7813
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    calls to action and links to external content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oken
    -0.81
    ·
    -0.76
    ´
    -0.74
    Ĥª
    -0.73
    ģ«
    -0.72
    roots
    -0.70
    Ń·
    -0.68
    ©
    -0.66
    ĪĴ
    -0.65
    dimension
    -0.65
    POSITIVE LOGITS
     link
    1.08
     links
    0.89
     embed
    0.84
     LINK
    0.77
     Haf
    0.72
     click
    0.71
     linked
    0.70
     Mehran
    0.70
    Newsletter
    0.70
     Scrib
    0.70
    Activations Density 0.196%

    No Known Activations