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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 2-RES-JB
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    Explanations

    references to a show or event called "Meet."

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "Meet" and its variations in different contexts

    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
    ©¶æ
    -0.79
    ettel
    -0.78
    secut
    -0.78
    ¥ŀ
    -0.76
     destro
    -0.73
     extrap
    -0.72
    obe
    -0.71
    acea
    -0.71
    secution
    -0.70
     harvesting
    -0.70
    POSITIVE LOGITS
    ings
    1.25
     Meet
    1.19
    Meet
    1.03
    ers
    0.90
    ership
    0.85
    ances
    0.83
    ãĤ¤ãĥĪ
    0.83
    ups
    0.79
    liest
    0.78
    aunt
    0.77
    Activations Density 0.008%

    No Known Activations