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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 9521
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    INDEX
    Explanations

    measurements and dimensions

    oai_token-act-pair · gpt-3.5-turbo

    dimensions and measurements related to objects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xit
    -0.69
     privatization
    -0.69
     refres
    -0.69
     contingency
    -0.69
     deferred
    -0.68
     denial
    -0.67
    rek
    -0.65
    issance
    -0.65
    osph
    -0.64
     rewriting
    -0.64
    POSITIVE LOGITS
     diameter
    1.48
     width
    1.43
    Width
    1.33
     centimeters
    1.32
     circumference
    1.31
     inches
    1.23
     Width
    1.23
     length
    1.21
     height
    1.18
     thickness
    1.17
    Activations Density 0.221%

    No Known Activations