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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. 2-RES-JB
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    Explanations

    mentions of the term "landers"

    oai_token-act-pair · gpt-3.5-turbo

    references to "landers" or similar terms related to the "Highlanders" context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    reon
    -0.70
    bara
    -0.69
    irlf
    -0.67
    eded
    -0.67
    leased
    -0.65
    sis
    -0.64
     cumbers
    -0.63
    mits
    -0.62
    ļ
    -0.61
    ffield
    -0.61
    POSITIVE LOGITS
    lander
    1.06
    DragonMagazine
    0.91
    ishly
    0.86
    stown
    0.85
    pedia
    0.78
    imore
    0.74
    naire
    0.74
    doms
    0.71
    gren
    0.68
    ilial
    0.68
    Activations Density 0.008%

    No Known Activations