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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 4-RES-JB
    11. 6756
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    Explanations

    mentions of frozen objects or food items

    oai_token-act-pair · gpt-3.5-turbo

    references to frozen items or conditions

    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
    ership
    -0.80
    orial
    -0.78
    sych
    -0.76
    rompt
    -0.75
    Technical
    -0.74
    ###
    -0.74
    ours
    -0.73
    oris
    -0.73
    =-=-=-=-=-=-=-=-
    -0.73
    verty
    -0.71
    POSITIVE LOGITS
     yogurt
    1.02
     cust
    1.00
     peas
    0.98
     desserts
    0.93
     rink
    0.91
     dessert
    0.88
     skating
    0.87
     frozen
    0.86
     freezing
    0.82
     spinach
    0.82
    Activations Density 0.010%

    No Known Activations