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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 1-RES-JB
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    Explanations

    mentions of the city "Montreal"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the term "Montreal" and related references

    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
    âĵĺ
    -0.79
    ramid
    -0.75
    ================================================================
    -0.75
    ullivan
    -0.73
    %]
    -0.72
    Discussion
    -0.72
    é¾įå
    -0.72
    OHN
    -0.72
    orative
    -0.70
    under
    -0.68
    POSITIVE LOGITS
     Canadiens
    1.22
     Montreal
    1.14
     Gazette
    1.05
     Neurolog
    0.94
     Impact
    0.85
     mosqu
    0.80
     Canad
    0.76
     neighbourhoods
    0.74
     Qué
    0.73
     Protocol
    0.72
    Activations Density 0.006%

    No Known Activations