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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. 3224
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    Explanations

    phrases related to software deployment and operations

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to the process of deploying technology or applications

    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
    bread
    -0.83
    iasis
    -0.83
    vals
    -0.78
    @@@@
    -0.77
    quart
    -0.73
     Sabha
    -0.73
    uana
    -0.72
    tery
    -0.70
    hemat
    -0.70
    omial
    -0.69
    POSITIVE LOGITS
     Deploy
    0.89
    Deploy
    0.82
     automation
    0.77
     deployments
    0.76
    avorite
    0.72
     deployment
    0.72
    ables
    0.69
    aware
    0.68
     Tacoma
    0.68
    eers
    0.67
    Activations Density 0.021%

    No Known Activations