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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. 4510
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    Explanations

    names of technologies, software, and codes

    oai_token-act-pair · gpt-3.5-turbo

    specific identifiers or acronyms related to media or entertainment entities

    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
    ãĤ©
    -0.58
     Frie
    -0.49
    enegger
    -0.48
     Rober
    -0.47
    ãĥ¼ãĥĨãĤ£
    -0.47
     Beir
    -0.46
    ãĥ¼ãĥĨ
    -0.44
     Vaugh
    -0.43
     Rodrig
    -0.42
    ãĥ´
    -0.41
    POSITIVE LOGITS
    KT
    0.42
    LOG
    0.41
    DragonMagazine
    0.41
    MET
    0.40
    LR
    0.40
    XY
    0.40
    TOR
    0.40
    atcher
    0.40
    BT
    0.39
     optimizations
    0.39
    Activations Density 0.798%

    No Known Activations