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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. 7830
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to various scientific disciplines and conditions

    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
    20439
    -0.77
     captcha
    -0.72
    utf
    -0.69
    ld
    -0.68
    udeb
    -0.67
     behold
    -0.66
    UTF
    -0.65
    ENN
    -0.65
     reel
    -0.64
    olson
    -0.64
    POSITIVE LOGITS
     Opportun
    1.07
     Removal
    1.05
     Solutions
    1.02
     Therapy
    1.02
     Enhancement
    1.01
     Connection
    0.99
     Basics
    0.98
     Matters
    0.98
     Advice
    0.97
     Awareness
    0.95
    Activations Density 0.285%

    No Known Activations