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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 4-RES-JB
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    Explanations

    mentions of the city "Lyon"

    oai_token-act-pair · gpt-3.5-turbo

    the name "Lyon" and its variants in various contexts

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

    No Comments

    Negative Logits
    multipl
    -0.75
    oldown
    -0.72
    fulness
    -0.70
    arded
    -0.70
    unks
    -0.67
    vant
    -0.67
    oslov
    -0.66
    Recomm
    -0.66
     minimized
    -0.65
    arding
    -0.65
    POSITIVE LOGITS
    nette
    1.02
    alties
    0.99
     oun
    0.79
    auga
    0.77
     brill
    0.77
    cale
    0.73
     Rouge
    0.72
     Lyon
    0.69
    ucle
    0.69
    anges
    0.69
    Activations Density 0.032%

    No Known Activations