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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. 5-RES-JB
    6. 11784
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    Explanations

    the word "Hunt"

    oai_token-act-pair · gpt-3.5-turbo

    references to the name "Hunt."

    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
    Downloadha
    -0.73
     Leilan
    -0.70
     Seym
    -0.70
     instr
    -0.70
    optional
    -0.69
     mathemat
    -0.68
    sembly
    -0.66
    umbn
    -0.65
    afort
    -0.64
    BuyableInstoreAndOnline
    -0.64
    POSITIVE LOGITS
     Hunt
    1.07
    ley
    0.99
    ress
    0.96
    hunt
    0.94
    resses
    0.93
    leigh
    0.85
    cheon
    0.84
    Hunt
    0.79
     hunts
    0.78
    mage
    0.78
    Activations Density 0.015%

    No Known Activations