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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. 20734
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    Explanations

    measurements expressed in physical dimensions

    oai_token-act-pair · gpt-3.5-turbo

    measurements and dimensions

    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
     Proc
    -0.80
     glitch
    -0.75
     postponed
    -0.75
    íķ
    -0.65
     privatization
    -0.63
    ynchronous
    -0.60
     cancelled
    -0.60
     doomed
    -0.59
    lag
    -0.59
    Phase
    -0.59
    POSITIVE LOGITS
     inches
    1.67
     centimeters
    1.57
    cm
    1.38
     inch
    1.36
     cm
    1.36
     feet
    1.36
    inches
    1.32
    â̳
    1.22
     mm
    1.20
    cms
    1.18
    Activations Density 0.110%

    No Known Activations