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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. 2-RES-JB
    11. 1556
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    Explanations

    references to a specific geographic scale, particularly looking for occurrences at a national or international level

    oai_token-act-pair · gpt-3.5-turbo

    references to national or international contexts or status

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nce
    -0.83
    eer
    -0.75
     beginnings
    -0.68
    ger
    -0.66
     Klu
    -0.64
     mechanisms
    -0.64
     Luck
    -0.63
     hints
    -0.63
     Riders
    -0.63
     motions
    -0.63
    POSITIVE LOGITS
    encrypted
    0.88
     speaking
    0.87
     minded
    0.86
     internationally
    0.83
     challeng
    0.80
     tuned
    0.79
     acclaimed
    0.79
     positioned
    0.77
    ographically
    0.77
     priced
    0.75
    Activations Density 0.013%

    No Known Activations