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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. 1-RES-JB
    11. 6803
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    Explanations

    the concept of being predestined or having a predetermined fate

    oai_token-act-pair · gpt-3.5-turbo

    the concept of being destined or fated for a particular outcome

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    owler
    -0.72
    OTOS
    -0.70
    Medic
    -0.67
     NIH
    -0.65
    tein
    -0.64
    riction
    -0.62
    CHA
    -0.62
    PLIED
    -0.61
    overed
    -0.61
     Physicians
    -0.61
    POSITIVE LOGITS
     destined
    1.08
     adolesc
    1.03
     rall
    0.94
    ģĸ
    0.89
    ãĥĢ
    0.79
    ãĥ¼ãĥĨãĤ£
    0.79
    ãĥŀ
    0.78
    nces
    0.77
     doomed
    0.74
    ||||
    0.72
    Activations Density 0.009%

    No Known Activations