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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. 14909
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    INDEX
    Explanations

    names or titles, especially those with the word "Baron"

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names and titles associated with individuals

    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
    mable
    -0.79
    DN
    -0.72
     extrem
    -0.67
    FORMATION
    -0.65
    agents
    -0.63
    mitting
    -0.63
    ************
    -0.63
    release
    -0.63
     skelet
    -0.62
    EMS
    -0.62
    POSITIVE LOGITS
     Baron
    1.04
    ess
    1.00
     Mord
    0.94
    esses
    0.93
    fman
    0.85
    stein
    0.82
    ham
    0.82
     Rothschild
    0.78
    esis
    0.78
    alist
    0.77
    Activations Density 0.010%

    No Known Activations