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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

    mentions of the word "frozen" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to frozen foods

    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
    tons
    -0.83
    iop
    -0.77
    orer
    -0.76
    verty
    -0.76
    ours
    -0.76
    ###
    -0.75
    alter
    -0.75
    rahim
    -0.74
    ership
    -0.74
    =-=-=-=-=-=-=-=-
    -0.74
    POSITIVE LOGITS
     yogurt
    1.21
     frozen
    1.09
     cust
    1.05
     peas
    1.01
     dessert
    1.01
     freezing
    1.00
     desserts
    1.00
     rink
    0.91
     freeze
    0.90
     spinach
    0.90
    Activations Density 0.009%

    No Known Activations