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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. 3-RES-JB
    11. 16812
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to antiques and antiquity

    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
    LOD
    -0.88
    Assembly
    -0.84
    Delivery
    -0.77
    âķIJ
    -0.75
    Deploy
    -0.71
    âķIJâķIJ
    -0.70
    Examples
    -0.70
    isSpecialOrderable
    -0.69
    Level
    -0.69
    dan
    -0.68
    POSITIVE LOGITS
     antiqu
    1.12
    itized
    0.88
    itiz
    0.87
    ities
    0.87
     Antiqu
    0.86
    ictionary
    0.84
    iencies
    0.83
    ated
    0.81
    ibles
    0.79
    icion
    0.79
    Activations Density 0.005%

    No Known Activations