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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 3-RES-JB
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    Explanations

    mentions of the word "Ark" with varying levels of emphasis

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "Ark."

    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
    ãģ¦
    -0.89
    cussion
    -0.74
    GROUP
    -0.72
    milo
    -0.70
    TPS
    -0.69
    perature
    -0.67
    ãģŁ
    -0.66
    BOOK
    -0.66
    eating
    -0.62
    íķ
    -0.62
    POSITIVE LOGITS
    ansas
    1.39
    angel
    1.02
     Encounter
    0.99
    adelphia
    0.98
    wright
    0.97
    esian
    0.92
     Ark
    0.90
    arium
    0.89
    alis
    0.88
    nect
    0.86
    Activations Density 0.006%

    No Known Activations