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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. 3-RES-JB
    11. 23487
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    Explanations

    numbers associated with quantities of items or entities

    oai_token-act-pair · gpt-3.5-turbo

    references to numerical quantities, particularly in the range of hundreds and thousands

    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
    imaru
    -0.81
    isen
    -0.75
    estine
    -0.72
    ime
    -0.70
    bid
    -0.70
    llor
    -0.68
    doms
    -0.68
    actic
    -0.68
    ronic
    -0.67
    nam
    -0.67
    POSITIVE LOGITS
     MHz
    0.95
     watts
    0.93
     miles
    0.92
     acres
    0.91
     pounds
    0.88
    Hz
    0.88
     000
    0.87
     kilometers
    0.85
    MHz
    0.85
     percent
    0.85
    Activations Density 0.064%

    No Known Activations