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

    mentions of the city "Sacramento"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Sacramento."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    schild
    -0.72
     load
    -0.71
    berman
    -0.68
    enegger
    -0.66
    awaru
    -0.66
    aylor
    -0.62
    arial
    -0.62
    alien
    -0.60
    ahon
    -0.59
    bsite
    -0.59
    POSITIVE LOGITS
    rament
    1.07
     Sacramento
    1.01
     Kings
    0.96
     Bee
    0.89
    Kings
    0.85
     County
    0.83
     Oro
    0.80
     Rapids
    0.78
     Hots
    0.76
     Kush
    0.76
    Activations Density 0.008%

    No Known Activations