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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 18617
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    Explanations

    mentions of the word "lion" along with a high activation value

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of the word "lion."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mble
    -0.89
    ACTION
    -0.80
    chell
    -0.79
    ilk
    -0.78
    Ñı
    -0.75
    lying
    -0.74
    matter
    -0.69
    ETH
    -0.66
    ÑĮ
    -0.66
    skirts
    -0.65
    POSITIVE LOGITS
    esses
    1.25
    fish
    1.08
    ess
    1.00
    eye
    0.96
     lions
    0.96
    ous
    0.88
    osaurs
    0.85
    odon
    0.84
    doms
    0.84
    iasis
    0.83
    Activations Density 0.018%

    No Known Activations