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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. 9-RES-JB
    11. 16444
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    Explanations

    the name "Ari" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to the name "Ari" in various 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
     Sporting
    -0.70
    é¾
    -0.69
    erences
    -0.68
    stable
    -0.66
    shire
    -0.66
    enegger
    -0.65
    FORMATION
    -0.64
     Fargo
    -0.64
    ding
    -0.63
    itionally
    -0.63
    POSITIVE LOGITS
    zon
    1.12
    elle
    0.98
    zeb
    0.96
    jit
    0.94
    zona
    0.94
    zos
    0.92
    Ģ
    0.92
    ī
    0.89
    ella
    0.89
    leans
    0.89
    Activations Density 0.056%

    No Known Activations