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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 4-RES-JB
    11. 4416
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    oai_token-act-pair · gpt-3.5-turbo

    the word "where" in various contexts

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

    No Comments

    Negative Logits
     squeeze
    -0.65
    rolet
    -0.64
     Doctrine
    -0.61
    icit
    -0.61
    astic
    -0.58
     unbeliev
    -0.58
    strap
    -0.58
    unch
    -0.58
     Shock
    -0.58
    atin
    -0.57
    POSITIVE LOGITS
    upon
    1.46
    soever
    1.08
    fore
    1.04
    abouts
    1.04
    ilib
    0.77
    arton
    0.76
    kson
    0.72
    ãĥ¯ãĥ³
    0.71
    abama
    0.70
    acan
    0.69
    Activations Density 0.041%

    No Known Activations