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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. 0-RES-JB
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    Explanations

    names of specific locations, with a focus on Wellington and Auckland

    oai_token-act-pair · gpt-3.5-turbo

    references to the location Wellington

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     labeling
    -0.70
     NR
    -0.68
     >>
    -0.68
     bir
    -0.67
     labeled
    -0.66
    §
    -0.65
     intel
    -0.65
     ratings
    -0.64
     lob
    -0.63
     morph
    -0.62
    POSITIVE LOGITS
     Wellington
    4.07
     Auckland
    2.28
    uckland
    2.20
     Canterbury
    2.00
     Canberra
    1.61
     Waterloo
    1.58
     NZ
    1.41
     Kiw
    1.36
     Zealand
    1.36
     Tasman
    1.30
    Activations Density 0.031%

    No Known Activations