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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. 9-RES-JB
    6. 1200
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    Explanations

    references to historical events or information

    oai_token-act-pair · gpt-3.5-turbo

    references to historical events or contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nery
    -0.88
    lain
    -0.85
    Downloadha
    -0.82
    geon
    -0.81
    ertodd
    -0.80
    Flow
    -0.78
    DAQ
    -0.76
    aye
    -0.74
    rosis
    -0.72
    Kids
    -0.71
    POSITIVE LOGITS
    orical
    1.04
    orically
    1.00
     preservation
    0.96
     significance
    0.93
     revision
    0.89
     precedent
    0.85
     relics
    0.84
     lows
    0.82
     Context
    0.80
     inaccur
    0.78
    Activations Density 0.044%

    No Known Activations