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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. 3-RES-JB
    6. 22401
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    Explanations

    references to seismic events by their magnitude

    oai_token-act-pair · gpt-3.5-turbo

    references to earthquake magnitudes

    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
    bones
    -0.81
    ohydrate
    -0.74
     Byrne
    -0.73
    starter
    -0.73
    foundation
    -0.73
    comes
    -0.72
    nee
    -0.67
     Judges
    -0.65
    stairs
    -0.64
    horse
    -0.64
    POSITIVE LOGITS
     magnitude
    1.19
     scale
    0.91
     equival
    0.85
     inacc
    0.82
    externalActionCode
    0.79
    ricane
    0.78
     impact
    0.76
     amplitude
    0.74
     amount
    0.74
     sensitivity
    0.73
    Activations Density 0.006%

    No Known Activations