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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. 6-RES-JB
    6. 12487
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    INDEX
    Explanations

    names of individuals and organizations

    oai_token-act-pair · gpt-3.5-turbo

    titles of movies or shows and references to notable personalities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Kik
    -0.63
     multiplication
    -0.57
    ãĥ¼ãĥĨ
    -0.55
     scrut
    -0.55
     ingred
    -0.53
     redundancy
    -0.52
     blockers
    -0.52
     Kop
    -0.52
    qv
    -0.51
    ãĤĮ
    -0.51
    POSITIVE LOGITS
     pione
    0.58
     unveiled
    0.57
    tesy
    0.54
    TAIN
    0.54
    zbollah
    0.53
    iren
    0.52
     hailed
    0.52
     attracted
    0.50
     respectively
    0.50
     celebrates
    0.50
    Activations Density 1.175%

    No Known Activations